https://bitbucket.org/RToroIcarte/cn-detectors
공식 코드How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval
Papers with Code 아카이브
Visual Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/1171-jpg/marvel_avr
공식 코드MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
https://github.com/Accelerator66/latent-gaussian-process-priors
공식 코드Raven's Progressive Matrices Completion with Latent Gaussian Process Priors
https://github.com/AikyamLab/hallucinogen
공식 코드HALLUCINOGEN: A Benchmark for Evaluating Object Hallucination in Large Visual-Language Models
https://github.com/BierOne/VQA-AttReg
공식 코드Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
https://github.com/CSU-JPG/MVPBench
공식 코드Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT
https://github.com/ChenRocks/UNITER
공식 코드https://github.com/ControlNet/HYDRA
공식 코드HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning
https://github.com/Cuberick-Orion/CIRPLANT
공식 코드Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
https://github.com/Cuberick-Orion/CIRR
공식 코드Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
https://github.com/Deanplayerljx/tab-vcr
공식 코드TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines
https://github.com/FlamingHorizon/CMM-VR
공식 코드https://github.com/GuessWhatGame/referit
공식 코드https://github.com/GuillermoPuebla/object-centric-reasoning
공식 코드Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach
https://github.com/HEmile/neurosymbolic-diffusion
공식 코드https://github.com/HLR/Cross_Modality_Relevance
공식 코드Cross-Modality Relevance for Reasoning on Language and Vision
https://github.com/HaozhiQi/RPIN
공식 코드Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
https://github.com/HumanEval-V/HumanEval-V-Benchmark
공식 코드https://github.com/IrohXu/VCog-Bench
공식 코드What is the Visual Cognition Gap between Humans and Multimodal LLMs?
https://github.com/Jaraxxus-Me/LogiCity
공식 코드LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
https://github.com/KunpengLi1994/VSRN
공식 코드https://github.com/MMMU-Benchmark/MMMU
공식 코드MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
https://github.com/Mvrjustid/MHN-IJCAI22
공식 코드Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering
https://github.com/NVlabs/Bongard-LOGO
공식 코드Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
https://github.com/NVlabs/RelViT
공식 코드RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
https://github.com/OmniaZayed/affineTrans_metaphor_identification
공식 코드Contextual Modulation for Relation-Level Metaphor Identification
https://github.com/Qualcomm-AI-research/ClevrSkills
공식 코드ClevrSkills: Compositional Language and Visual Reasoning in Robotics
https://github.com/SHI-Labs/Interpretable-Visual-Reasoning
공식 코드https://github.com/SeverTopan/SATNet
공식 코드https://github.com/SkyworkAI/Skywork-R1V
공식 코드https://github.com/SpencerWhitehead/vqap2
공식 코드Learning from Lexical Perturbations for Consistent Visual Question Answering
https://github.com/TAU-VAILab/isbertblind
공식 코드https://github.com/THUNLP-MT/EscapeCraft
공식 코드https://github.com/UMass-Foundation-Model/VisualCoT
공식 코드https://github.com/VecchioID/DRNet
공식 코드Learning Visual Abstract Reasoning through Dual-Stream Networks
https://github.com/Vincent-ZHQ/LV-LLMs
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.