https://github.com/nvlabs/bongard-hoi
공식 코드Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
Papers with Code 아카이브
Visual Reasoning
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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/ofa-sys/ofa
공식 코드https://github.com/om-ai-lab/vlm-r1
공식 코드VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
https://github.com/open-dataflow/vts-v
공식 코드Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification
https://github.com/openai/CLIP
공식 코드Learning Transferable Visual Models From Natural Language Supervision
https://github.com/opengvlab/multi-modality-arena
공식 코드TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models
https://github.com/pkunlp-icler/mic
공식 코드MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
https://github.com/princeton-pli/vlm_s2h
공식 코드Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
https://github.com/princetonvisualai/imagecaptioning-bias
공식 코드Understanding and Evaluating Racial Biases in Image Captioning
https://github.com/pzzhang/VinVL
공식 코드VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/raeidsaqur/clevr-parser
공식 코드CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes
https://github.com/researchmm/soho
공식 코드Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
https://github.com/richard-coder-nai/disentanglement-lib-necessity
공식 코드https://github.com/rohan598/contextual
공식 코드ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models
https://github.com/rsinghlab/shape-blind
공식 코드Forgotten Polygons: Multimodal Large Language Models are Shape-Blind
https://github.com/rucaibox/comvint
공식 코드https://github.com/rucaibox/virgo
공식 코드Virgo: A Preliminary Exploration on Reproducing o1-like MLLM
https://github.com/sail-sg/ptp
공식 코드Position-guided Text Prompt for Vision-Language Pre-training
https://github.com/salesforce/lavis
공식 코드Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/schuture/deeptumorvqa
공식 코드https://github.com/sdc17/crossget
공식 코드CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
https://github.com/sdc17/upop
공식 코드UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
https://github.com/sdlzy/arc
공식 코드Joint Answering and Explanation for Visual Commonsense Reasoning
https://github.com/secureaiautonomylab/conditionalvlm
공식 코드https://github.com/seephys/seephys-project
공식 코드SeePhys: Does Seeing Help Thinking? -- Benchmarking Vision-Based Physics Reasoning
https://github.com/shaneshang/simplifiedrpm-visual-reasoning
공식 코드https://github.com/shanka123/ocra
공식 코드Systematic Visual Reasoning through Object-Centric Relational Abstraction
https://github.com/shanka123/slot-abstractor
공식 코드https://github.com/shanka123/stsn
공식 코드https://github.com/shi-labs/vcoder
공식 코드VCoder: Versatile Vision Encoders for Multimodal Large Language Models
https://github.com/shijx12/XNM-Net
공식 코드https://github.com/shikorab/DSG
공식 코드https://github.com/shirley-wu/vdebugger
공식 코드VDebugger: Harnessing Execution Feedback for Debugging Visual Programs
https://github.com/showlab/all-in-one
공식 코드https://github.com/showlab/mist
공식 코드MIST: Multi-modal Iterative Spatial-Temporal Transformer for Long-form Video Question Answering
https://github.com/si0wang/thinklite-vl
공식 코드SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.