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Collections including paper arxiv:2403.06977

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

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 36
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

AI Paper of the Day

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

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 21
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 79
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 141
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 25

StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization

Paper • 2311.14495 • Published Nov 24, 2023 • 1
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Paper • 2401.09417 • Published Jan 17 • 58
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

Paper • 2401.13560 • Published Jan 24 • 1
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces

Paper • 2402.00789 • Published Feb 1 • 2

video llm works

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Paper • 2404.16994 • Published Apr 25 • 35
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Paper • 2403.10517 • Published Mar 15 • 30
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Paper • 2403.09626 • Published Mar 14 • 12

VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27

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

Paper • 2403.10517 • Published Mar 15 • 30
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding

Paper • 2403.11481 • Published Mar 18 • 11
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies

Paper • 2403.01422 • Published Mar 3 • 26

VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
OpenGVLab/VideoMamba

Video Classification • Updated Apr 14 • 24
Running on Zero

93

🐍

VideoMamba
Andy1621/VideoMamba

Updated Mar 13 • 1

Relevant Papers

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

Paper • 2403.06764 • Published Mar 11 • 25
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
Phased Consistency Model

Paper • 2405.18407 • Published May 28 • 46

Papers - Video - Mamba

VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Paper • 2403.09626 • Published Mar 14 • 12

Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 18
Learning and Leveraging World Models in Visual Representation Learning

Paper • 2403.00504 • Published Mar 1 • 29
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies

Paper • 2403.01422 • Published Mar 3 • 26
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models

Paper • 2403.05438 • Published Mar 8 • 18

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