https://github.com/bespontaneous/proteus-pytorch
Learning Transferable Visual Models From Natural Language Supervision
Papers with Code 아카이브
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/bhanu77prakash/EDA-project
https://github.com/borisdayma/clip-jax
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/brown-palm/ObjectPrompt
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/bruthyu/bpt-vlm
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/buyeah1109/KEN
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/buyeah1109/finc
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/byahn2/clevr_ref
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
https://github.com/caffeinism/film-pytorch
https://github.com/camenduru/llava-colab
https://github.com/cattidea/VinVL-Paddle
VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/ceyzaguirre4/NSM
https://github.com/ceyzaguirre4/mac-network-pytorch
https://github.com/chaitanyadwivedii/3D-Attention-is-All-You-Need
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
https://github.com/chenkangyang/paddle_visual_bert
VisualBERT: A Simple and Performant Baseline for Vision and Language
https://github.com/chuangg/CLEVRER
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
https://github.com/claws-lab/multimodal-robustness-xmai
An Empirical Study of Training End-to-End Vision-and-Language Transformers
https://github.com/clip-italian/clip-italian
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/computer-vision-in-the-wild/cvinw_readings
https://github.com/cshizhe/hgr_v2t
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/dhansmair/flamingo-mini
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/dinhvietcuong1996/icme25-inova
https://github.com/e-bug/weak-relation-vlm
Measuring Progress in Fine-grained Vision-and-Language Understanding
https://github.com/eify/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/eladlev/autoprompt
https://github.com/ellenzhuwang/implicit_vkood
https://github.com/eps696/aphantasia
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/eric-ai-lab/probmed
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
https://github.com/ericyinyzy/vlattack
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/facebookresearch/brainmagick
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/facebookresearch/clip-rocket
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/facebookresearch/multimodal
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/facebookresearch/vilbert-multi-task
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
https://github.com/facebookresearch/vissl
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/fastscience-ai/medflamingo
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/fiabdu/Commonly-Interesting-Images
Learning Transferable Visual Models From Natural Language Supervision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.