Visual Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Ability to understand actions and reasoning associated with any visual images
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yaolinli/capenrich
VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/ylqi/count-anything
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ylsung/vl-merging
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
https://github.com/yuchen814/codehalu
https://github.com/yukw777/videoblip
https://github.com/yuliangcai2022/clumo
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/yulong-XJTU/SimVLM
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
https://github.com/yuuun/clip_pytorch
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/zacharie12/zacharie
Learning to Compose Dynamic Tree Structures for Visual Contexts
https://github.com/zhangxu0963/npc
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/zihaow123/unimm
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
https://github.com/ziyan-xiaoyu/spatialmqa
https://github.com/zyang1580/binllm
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.