File size: 17,948 Bytes
06095b8 402282d 06095b8 402282d 4cf2583 402282d 4cf2583 402282d d50ae7f 4cf2583 d50ae7f 534cb89 fb2139f 402282d 2a09abf 3d930d6 dbb0912 0c3f50a fb2139f 2a09abf d50ae7f 402282d d463e06 534cb89 75868bb d463e06 402282d 75868bb e6668a6 534cb89 75868bb 534cb89 7dd0189 4cf2583 75868bb 534cb89 4cf2583 75868bb a8de80e d223186 534cb89 fef70e7 a8de80e 534cb89 4cf2583 a8de80e 534cb89 4cf2583 a8de80e 75868bb 402282d 4cf2583 534cb89 402282d 534cb89 4cf2583 d463e06 4cf2583 07874ee 534cb89 4cf2583 402282d 3838180 7dd0189 3838180 402282d d223186 534cb89 e16915e 4cf2583 75868bb 534cb89 fb2139f d223186 75868bb 3838180 e6668a6 3838180 e6668a6 3838180 c2f9e70 3838180 02c1a4c 75868bb e6668a6 2a09abf 534cb89 e6668a6 4cf2583 75868bb 534cb89 4cf2583 402282d 3df68f6 02c1a4c 75868bb 3df68f6 534cb89 3df68f6 534cb89 3df68f6 534cb89 3df68f6 3838180 1678b89 3838180 971d714 3838180 3df68f6 534cb89 3df68f6 534cb89 3df68f6 1678b89 3df68f6 534cb89 3df68f6 534cb89 75868bb 534cb89 4cf2583 75868bb 534cb89 4cf2583 75868bb d463e06 3df68f6 534cb89 2b307b8 534cb89 e6668a6 8fc6665 2b307b8 8fc6665 534cb89 e6668a6 534cb89 e6668a6 534cb89 3df68f6 75868bb d463e06 534cb89 3838180 fb2139f e6668a6 fb2139f 1678b89 fb2139f c2f9e70 fb2139f 06095b8 e6668a6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 |
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width" />
<title> MindBigData Leaderboard</title>
<link rel="stylesheet" href="style.css" />
</head>
<body>
<head>
<style type="text/css">
.auto-style1 {
border-left: 1px solid #C0C0C0;
border-top: 1px solid #C0C0C0;
font-size: large;
text-align: center;
border-right-style: solid;
border-right-width: 1px;
border-bottom-style: solid;
border-bottom-width: 1px;
}
.auto-style2 {
text-align: center;
}
.auto-style3 {
border-width: 0;
}
.auto-style4 {
border-left: 1px solid #C0C0C0;
border-top: 1px solid #C0C0C0;
text-align: center;
border-right-style: solid;
border-right-width: 1px;
border-bottom-style: solid;
border-bottom-width: 1px;
}
.auto-style5 {
border-left: 1px solid #C0C0C0;
border-top: 1px solid #C0C0C0;
text-align: center;
border-right-style: solid;
border-right-width: 1px;
border-bottom-style: solid;
border-bottom-width: 1px;
color: #FF0000;
}
.auto-style6 {
font-size: x-large;
}
</style>
</head>
<div style="text-align:center">
<h1 id="space-title">🌟 MindBigData Leaderboard 🌟</h1>
</div>
<div class="auto-style2">
📐 The 🤗 Open MindBigData Leaderboard aims to track, rank and evaluate
Brain EEG models related to the papers:<br>
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022" target="_blank">
📝MindBigData 2022 A Large Dataset of Brain Signals</a> and
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2023_MNIST-8B" target="_blank">
📝MindBigData2023_MNIST-8B </a> <br>🚀 Submit a model or paper in the
community tab<br></div>
<strong><span class="auto-style6">Multiclass prediction:</span></strong>
<table style="width: 100%" class="auto-style3">
<tr>
<td class="auto-style1" style="width: 149px"><strong>Accuracy</strong></td>
<td class="auto-style1" style="width: 239px"><strong>Model</strong></td>
<td class="auto-style1" style="width: 459px"><strong>DataSet</strong></td>
<td class="auto-style1" style="width: 495px"><strong>Who?</strong></td>
<td class="auto-style1" style="width: 228px"><strong>Paper</strong></td>
<td class="auto-style1"><strong>Code</strong></td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px"><strong>🔥98.97%</strong> *<br>
<strong>🔥89.62%</strong> **</td>
<td class="auto-style4" style="width: 239px">BrainDigiCNN</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a> [3Gb] *<br>
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_IN" target="_blank">MindBigData2022_MNIST_IN</a> [201Mb] **</td>
<td class="auto-style4" style="width: 495px">Smita Tiwari, Shivani Goel and Arpit Bhardwaj </td>
<td class="auto-style4" style="width: 228px">
<a href="https://link.springer.com/article/10.1007/s13369-022-07313-3" target="_blank">
abs</a> 🔒 2023</td>
<td class="auto-style4">n/a</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px"><strong>96.18%</strong> *<br>71.60% ** (at least Muse results are disputed due to i-reproducibility of results atm, authors please clarify to Dr. Lisa-Marie Vortmann to validate and peer review)</td>
<td class="auto-style4" style="width: 239px">RNN</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_MU" target="_blank">MindBigData2022_MNIST_MU</a> [289Mb]
*<br>
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a> [3Gb] **</td>
<td class="auto-style4" style="width: 495px">Nrushingh Charan Mahapatra and Prachet Bhuyan</td>
<td class="auto-style4" style="width: 228px">
<a href="https://iopscience.iop.org/article/10.1088/1741-2552/acc976/meta" target="_blank">
abs</a> 🔒 2023</td>
<td class="auto-style4">n/a</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">95.4%</td>
<td class="auto-style4" style="width: 239px">CNN-GAN</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a> [3Gb]</td>
<td class="auto-style4" style="width: 495px">Nastaran Khaleghi,
Shaghayegh Hashemi, Sevda Zafarmandi Ardabili, Sobhan
Sheykhivand and Sebelan Danishvar</td>
<td class="auto-style4" style="width: 228px">
<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10708586/pdf/sensors-23-09351.pdf" target="_blank">
pdf</a> 2023</td>
<td class="auto-style4">n/a</td>
</tr>
<tr>
<td style="width: 149px" class="auto-style4">91.29%</td>
<td style="width: 239px" class="auto-style4">CNN</td>
<td style="width: 459px" class="auto-style4">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_IN" target="_blank">MindBigData2022_MNIST_IN</a> [201Mb] </td>
<td style="width: 495px" class="auto-style4">Nandini Kumari, Shamama Anwar and Vandana Bhattacharjee </td>
<td style="width: 228px" class="auto-style4">
<a href="https://link.springer.com/chapter/10.1007/978-981-16-1543-6_22" target="_blank">
book</a> 🔒 2021</td>
<td style="height: 22px" class="auto-style4">n/a</td>
</tr>
<tr>
<td style="width: 149px" class="auto-style4">claimed 88% but results are disputed, thanks to the code review by Dr. Lisa-Marie Vortmann and corroborated by David Vivancos the labels is not the digit but the channel number</td>
<td style="width: 239px" class="auto-style4">R-CNN</td>
<td style="width: 459px" class="auto-style4">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_MU" target="_blank">MindBigData2022_MNIST_MU</a> [289Mb]</td>
<td style="width: 495px" class="auto-style4">Andrew Perez</td>
<td style="width: 228px" class="auto-style4">
<a href="https://colab.research.google.com/drive/1q1mvIC1xgEuPNNvgASrAG7zie3qRjr-8" target="_blank">
colab</a> 2023</td>
<td style="height: 22px" class="auto-style4">yes
<span style="color: rgb(77, 81, 86); font-family: "Google Sans", arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">
👏 thaks for sharing code but please review your claims</span></td>
</tr>
<tr>
<td style="width: 149px" class="auto-style4"><strong>🔥85%</strong></td>
<td style="width: 239px" class="auto-style4">CNN</td>
<td style="width: 459px" class="auto-style4">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_IN_Spct" target="_blank">
MindBigData2022_Imagenet_IN_Spct</a> [3Gb] 📷</td>
<td style="width: 495px" class="auto-style4">Matthew Zhang and Jeremy Lu</td>
<td style="width: 228px" class="auto-style4">
<a href="https://www.jsr.org/hs/index.php/path/article/view/4178/2028" target="_blank">
pdf</a> 2023</td>
<td style="height: 22px" class="auto-style4">n/a</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">75%</td>
<td class="auto-style4" style="width: 239px">CNN</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_IN" target="_blank">
MindBigData2022_Imagenet_IN</a> [201Mb]📷</td>
<td class="auto-style4" style="width: 495px">
Adolfo Ramirez-Aristizabal</td>
<td class="auto-style4" style="width: 228px">
<a href="https://medium.com/@adolfo.ramirezz/brain-2-image-reverse-engineering-visual-perception-from-brain-signals-5dddf8fdbb4b" target="_blank">
medium</a> 2023</td>
<td class="auto-style4">n/a</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px"><strong>🔥73.54%</strong> *<br>72.91% **<br>
72.39% ***<br></td>
<td class="auto-style4" style="width: 239px">CNN* <br>LSTM** <br>DNN***</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_IN" target="_blank">
MindBigData2022_Imagenet_IN</a> [201Mb]📷</td>
<td class="auto-style4" style="width: 495px">Saumya Kushwaha, Priyanka Jain and N. K. Jain</td>
<td class="auto-style4" style="width: 228px">
<a href="https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=4679500355112375870" target="_blank">
book</a> 🔒 2023</td>
<td class="auto-style4">n/a</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">70%</td>
<td class="auto-style4" style="width: 239px">CNN</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a> [3Gb]</td>
<td class="auto-style4" style="width: 495px">Rahul Mishra, Krishan Sharma, Arnav Bhavsar</td>
<td class="auto-style4" style="width: 228px">
<a href="https://eurasip.org/Proceedings/Eusipco/Eusipco2021/pdfs/0001226.pdf" target="_blank">
pdf</a> 2021</td>
<td class="auto-style4">n/a</td>
</tr>
<tr>
<td style="width: 149px" class="auto-style4">31.35%</td>
<td style="width: 239px" class="auto-style4">A. B. DEvo MLP</td>
<td style="width: 459px" class="auto-style4">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_MU" target="_blank">MindBigData2022_MNIST_MU</a> [289Mb]</td>
<td style="width: 495px" class="auto-style4"> Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham</td>
<td style="width: 228px" class="auto-style4">
<a href="https://downloads.hindawi.com/journals/complexity/2019/4316548.pdf" target="_blank">
pdf</a> 2019</td>
<td style="height: 22px" class="auto-style4">n/a</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">22,42%</td>
<td class="auto-style4" style="width: 239px">EEGNeX</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a> [3Gb]</td>
<td class="auto-style4" style="width: 495px">Hang Du</td>
<td class="auto-style4" style="width: 228px">
<a href="https://yorkspace.library.yorku.ca/items/6d77a52e-6dfc-40f7-852f-96ddb09c777b" target="_blank">
pdf</a> 2023</td>
<td class="auto-style4">n/a</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">19.42% *<br>17.72% **</td>
<td class="auto-style4" style="width: 239px">Transformer</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a> [3Gb] *
<br>
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_MU" target="_blank">MindBigData2022_MNIST_MU</a> [289Mb] **
</td>
<td class="auto-style4" style="width: 495px">Omkar Muglikar</td>
<td class="auto-style4" style="width: 228px">
<a href="https://keep.lib.asu.edu/system/files/c7/Muglikar_asu_0010N_21413.pdf" target="_blank">
pdf</a> 2021</td>
<td class="auto-style4">n/a</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">16,69%</td>
<td class="auto-style4" style="width: 239px">EEGNet-8,2</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a> [3Gb]</td>
<td class="auto-style4" style="width: 495px">Xia Chen, Xiangbin Teng, Han Chen, Yafeng Pan and Philipp Geyer</td>
<td class="auto-style4" style="width: 228px">
<a href="https://arxiv.org/pdf/2207.12369.pdf" target="_blank">
pdf</a> 2023</td>
<td class="auto-style4">n/a</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">10%</td>
<td class="auto-style4" style="width: 239px">cnn?</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2023_MNIST-8B" target="_blank">
MindBigData2023_MNIST-8B</a> [52Gb]🧠+🎶</td>
<td class="auto-style4" style="width: 495px"> Caelen Hilty and Zander Chown</td>
<td class="auto-style4" style="width: 228px"><a href="https://medium.com/@caelenhilty/mindnist-29f6fdda948d" target="_blank">
medium</a> 2024</td>
<td class="auto-style4"><a href="https://github.com/zchown/MindMnist-8BClassification" target="_blank">
yes</a> 👏 </td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">???</td>
<td class="auto-style4" style="width: 239px">????</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2023_MNIST-2B" target="_blank">
MindBigData2023_MNIST-2B</a> [14Gb]🧠+🎶</td>
<td class="auto-style5" style="width: 495px"> no entries yet > Submit
your model</td>
<td class="auto-style4" style="width: 228px">
???</td>
<td class="auto-style4">???</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">???</td>
<td class="auto-style4" style="width: 239px">????</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_VisMNIST_Cap64_Morlet" target="_blank">
MindBigData2022_VisMNIST_Cap64_Morlet</a> [2Gb] 📷</td>
<td class="auto-style5" style="width: 495px"> no entries yet > Submit
your model</td>
<td class="auto-style4" style="width: 228px">
???</td>
<td class="auto-style4">???</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">???</td>
<td class="auto-style4" style="width: 239px">????</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_VisMNIST_Cap64" target="_blank">
MindBigData2022_VisMNIST_Cap64</a> [544Mb] </td>
<td class="auto-style5" style="width: 495px"> no entries yet > Submit
your model</td>
<td class="auto-style4" style="width: 228px">
???</td>
<td class="auto-style4">???</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">???</td>
<td class="auto-style4" style="width: 239px">????</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_VisMNIST_MU2" target="_blank">
MindBigData2022_VisMNIST_MU2</a> [3Gb]</td>
<td class="auto-style5" style="width: 495px"> no entries yet > Submit
your model</td>
<td class="auto-style4" style="width: 228px">
???</td>
<td class="auto-style4">???</td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px">???</td>
<td class="auto-style4" style="width: 239px">????</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_MW" target="_blank">
MindBigData2022_MNIST_MW</a> [217Mb] </td>
<td class="auto-style5" style="width: 495px"> no entries yet > Submit
your model</td>
<td class="auto-style4" style="width: 228px">
???</td>
<td class="auto-style4">???</td>
</tr>
</table>
<strong><span class="auto-style6"><br>Binary prediction:</span></strong>
<table style="width: 100%" class="auto-style3">
<tr>
<td class="auto-style1" style="width: 149px"><strong>Accuracy</strong></td>
<td class="auto-style1" style="width: 239px"><strong>Model</strong></td>
<td class="auto-style1" style="width: 459px"><strong>DataSet</strong></td>
<td class="auto-style1" style="width: 495px"><strong>Who?</strong></td>
<td class="auto-style1" style="width: 228px"><strong>Paper</strong></td>
<td class="auto-style1"><strong>Code</strong></td>
</tr>
<tr>
<td class="auto-style4" style="width: 149px"><strong>🔥95%</strong> <br>
</td>
<td class="auto-style4" style="width: 239px">CNN</td>
<td class="auto-style4" style="width: 459px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_MU" target="_blank">MindBigData2022_MNIST_MU</a>
[289Mb]
</td>
<td class="auto-style4" style="width: 495px">Diganta Kalita
</td>
<td class="auto-style4" style="width: 228px">
<a href="https://dxganta.medium.com/decoding-thoughts-with-deep-learning-eeg-based-digit-detection-using-cnns-cdf7eee20722" target="_blank">
medium </a> 2023</td>
<td class="auto-style4">yes
<span style="color: rgb(77, 81, 86); font-family: "Google Sans", arial, sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">
👏 </span></td>
</tr>
<tr>
<td style="width: 149px" class="auto-style4">85%</td>
<td style="width: 239px" class="auto-style4">LSTM</td>
<td style="width: 459px" class="auto-style4">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_MU" target="_blank">MindBigData2022_MNIST_MU</a> [289Mb]</td>
<td style="width: 495px" class="auto-style4">Pablo Martín Puerto</td>
<td style="width: 228px" class="auto-style4">
<a href="https://idus.us.es/bitstream/handle/11441/147273/G4486_Mart%C3%ADn%20Puerto.pdf" target="_blank">
pdf [SP]</a> 2023</td>
<td style="height: 22px" class="auto-style4">n/a</td>
</tr>
</table>
</body>
</html>
|