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bt-adapter

Official PyTorch implementation of the paper "One For All: Video Conversation is Feasible Without Video Instruction Tuning"

causal-context-debiasing

CCD： Official PyTorch implementation of the paper "Contextual Debiasing for Visual Recognition with Causal Mechanisms"

clip4clip

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

denseaspp-medical-image-segmentation

llava

Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.

memory-for-unbalance-relations

Official PyTorch implementation of the paper "Memory-based network for scene graph with unbalanced relations"

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

stan

Official PyTorch implementation of the paper "Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring"

video-chatgpt

"Video-ChatGPT" is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.