Papers with Code 아카이브
Visual Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 12
- 보존된 평가 기록
- 192
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/lupantech/InterGPS
공식 코드Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
https://github.com/lupantech/ScienceQA
공식 코드Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
https://github.com/lwq20020127/q-insight
공식 코드Q-Insight: Understanding Image Quality via Visual Reinforcement Learning
https://github.com/maplebb/controlthinker
공식 코드https://github.com/marslanm/multimodality-representation-learning
공식 코드Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications
https://github.com/martian422/clawmachine
공식 코드ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension
https://github.com/marvl-challenge/marvl-code
공식 코드https://github.com/matrix-alpha/matrix-alpha.github.io
공식 코드Accountable Textual-Visual Chat Learns to Reject Human Instructions in Image Re-creation
https://github.com/mbzuai-oryx/CAMEL-Bench
공식 코드https://github.com/mbzuai-oryx/agent-x
공식 코드Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks
https://github.com/mbzuai-oryx/arb
공식 코드https://github.com/mbzuai-oryx/llamav-o1
공식 코드https://github.com/mbzuai-oryx/palo
공식 코드https://github.com/merlerm/viplan
공식 코드ViPlan: A Benchmark for Visual Planning with Symbolic Predicates and Vision-Language Models
https://github.com/mertyg/vision-language-models-are-bows
공식 코드When and why vision-language models behave like bags-of-words, and what to do about it?
https://github.com/metaagentx/opencaptchaworld
공식 코드https://github.com/microsoft/fiber
공식 코드Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
https://github.com/microsoft/unilm/tree/master/beit
공식 코드Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
https://github.com/microsoft/unilm/tree/master/vlmo
공식 코드VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
https://github.com/mikomel/mlcl
공식 코드Multi-Label Contrastive Learning for Abstract Visual Reasoning
https://github.com/mikomel/sal
공식 코드One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
https://github.com/milvlg/rosita
공식 코드https://github.com/ml-research/ILLUME
공식 코드ILLUME: Rationalizing Vision-Language Models through Human Interactions
https://github.com/ml-research/bongard-in-wonderland
공식 코드Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
https://github.com/ml-research/neumann
공식 코드Learning Differentiable Logic Programs for Abstract Visual Reasoning
https://github.com/ml-research/neuralconceptbinder
공식 코드https://github.com/ml-research/vlol-dataset-gen
공식 코드https://github.com/mrzilinxiao/proxythinker
공식 코드ProxyThinker: Test-Time Guidance through Small Visual Reasoners
https://github.com/mshukor/vicha
공식 코드Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment
https://github.com/muyehuang/chartsketcher
공식 코드ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
https://github.com/mxbi/arckit
공식 코드Neural networks for abstraction and reasoning: Towards broad generalization in machines
https://github.com/mxbi/dreamcoder-arc
공식 코드Neural networks for abstraction and reasoning: Towards broad generalization in machines
https://github.com/necla-ml/SNLI-VE
공식 코드Visual Entailment: A Novel Task for Fine-Grained Image Understanding
https://github.com/neilfei/brivl-nmi
공식 코드Towards artificial general intelligence via a multimodal foundation model
https://github.com/nitishgupta/allennlp-semparse
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.