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/christopher-beckham/clevr-mrt
공식 코드Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests
https://github.com/circleradon/tokenpacker
공식 코드https://github.com/coisini-glenda/wsdan-for-medical-visual-question-answering
공식 코드https://github.com/columbia-icsl/tdbench
공식 코드TDBench: Benchmarking Vision-Language Models in Understanding Top-Down Images
https://github.com/csu-jpg/v-mage
공식 코드https://github.com/dandelin/vilt
공식 코드ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
https://github.com/davidmascharka/tbd-nets
공식 코드Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
https://github.com/deepmind/deepmind-research
공식 코드Attention over learned object embeddings enables complex visual reasoning
https://github.com/diffusion-classifier/diffusion-classifier
공식 코드https://github.com/dongyh20/insight-v
공식 코드Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
https://github.com/e-bug/fine-grained-evals
공식 코드Measuring Progress in Fine-grained Vision-and-Language Understanding
https://github.com/e-bug/volta
공식 코드https://github.com/elaine-sui/tps
공식 코드Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models
https://github.com/ellenzhuwang/VK_OOD
공식 코드Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
https://github.com/ethanjperez/film
공식 코드https://github.com/evolvinglmms-lab/mgpo
공식 코드High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning
https://github.com/explainableml/clevr-x
공식 코드CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
https://github.com/ey242/kiva
공식 코드KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models
https://github.com/fabienbaradel/object_level_visual_reasoning
공식 코드https://github.com/facebookresearch/DVDialogues
공식 코드DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
https://github.com/facebookresearch/DynamicsAware
공식 코드https://github.com/facebookresearch/clevr-iep
공식 코드https://github.com/facebookresearch/daqa
공식 코드https://github.com/facebookresearch/mmf/tree/main/projects/unit
공식 코드UniT: Multimodal Multitask Learning with a Unified Transformer
https://github.com/facebookresearch/phyre
공식 코드https://github.com/facebookresearch/phyre-fwd
공식 코드https://github.com/facebookresearch/unibench
공식 코드UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
https://github.com/fansunqi/akeys
공식 코드https://github.com/fartashf/vsepp
공식 코드VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/fawazsammani/nlxgpt
공식 코드Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks
https://github.com/fawazsammani/uni-nlx
공식 코드Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks
https://github.com/fdu-ins/ins-mmbench
공식 코드INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance
https://github.com/foger3/arc_deeplearning
공식 코드Solving ARC visual analogies with neural embeddings and vector arithmetic: A generalized method
https://github.com/frenkie-chiang/danmakutppbench
공식 코드DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding
https://github.com/fudanvi/generative-abstract-reasoning
공식 코드Raven's Progressive Matrices Completion with Latent Gaussian Process Priors
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.