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Collections including paper arxiv:2402.13217

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 21
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 9
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 31
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20 • 18

VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Paper • 2403.10517 • Published Mar 15 • 28
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding

Paper • 2403.11481 • Published Mar 18 • 10
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 22
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies

Paper • 2403.01422 • Published Mar 3 • 24

Video Understanding, Video Embedding, Video Tasks

Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 17
VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20 • 18
World Model on Million-Length Video And Language With RingAttention

Paper • 2402.08268 • Published Feb 13 • 33
microsoft/xclip-base-patch16-zero-shot

Video Classification • Updated Sep 12, 2023 • 2.44k • 20

VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20 • 18
World Model on Million-Length Video And Language With RingAttention

Paper • 2402.08268 • Published Feb 13 • 33
microsoft/xclip-base-patch16-zero-shot

Video Classification • Updated Sep 12, 2023 • 2.44k • 20
MCG-NJU/videomae-base

Video Classification • Updated Mar 29 • 17.9k • 30

VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20 • 18
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding

Paper • 2405.08344 • Published 9 days ago • 10

video understanding

VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20 • 18
Sora Generates Videos with Stunning Geometrical Consistency

Paper • 2402.17403 • Published Feb 27 • 14
Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 17

VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20 • 18
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

Paper • 2402.17485 • Published Feb 27 • 182
Qwen/Qwen-VL-Chat

Text Generation • Updated Jan 25 • 4.05M • 259
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies

Paper • 2403.01422 • Published Mar 3 • 24

VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20 • 18

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 20 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 20
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 74
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 22

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