https://github.com/batra-mlp-lab/visdial-challenge-starter-pytorch
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Papers with Code 아카이브
Visual Question Answering
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/batra-mlp-lab/visdial-rl
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
https://github.com/batra-mlp-lab/vln-chasing-ghosts
https://github.com/batra-mlp-lab/vln-sim2real
https://github.com/betashort/ClassActivationMappings
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/bill86416/trojan_attack
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/birkhoffkiki/gpfm
Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation
https://github.com/blaze1522/Image-Segmentation-FloodNet
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
https://github.com/brandon3964/multimodal-task-vector
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
https://github.com/brandontrabucco/up_down_cell
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
https://github.com/brandontrabucco/up_down_rnn_cell
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
https://github.com/buaaYYC/faster-rcnn-tensorflow
https://github.com/byahn2/clevr_ref
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
https://github.com/bytetriper/lm4lv
https://github.com/caggursoy/Cross-Age-Effect
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/caggursoy/crossageeffect
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/camenduru/llava-colab
https://github.com/chaitanyadwivedii/3D-Attention-is-All-You-Need
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
https://github.com/chartgalaxy/chartgalaxy
InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
https://github.com/chat-3d/chat-3d-v2
Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes
https://github.com/chenbys/GradCAM
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/chenguolin/DiffSplat
https://github.com/chinesh/Guided_Grad_CAM
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/chirag26495/DAN_VQA
https://github.com/chrisc36/bottom-up-attention-vqa
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
https://github.com/cle-ros/RoutingNetworks
Routing Networks and the Challenges of Modular and Compositional Computation
https://github.com/clic-lab/ciff
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
https://github.com/clvrai/relation-network-tensorflow
https://github.com/cnichkawde/MatchingNetwork
https://github.com/crockwell/cap3d
https://github.com/csmiler/tf-faster-rcnn-cpu
https://github.com/cvlab-stonybrook/gcdr-gaze
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following
https://github.com/cvlab-tohoku/Dense-CoAttention-Network
https://github.com/d-ailin/blind-faith-in-text
https://github.com/daixiangzi/Grad_Cam-pytorch-resnet50
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/damo-nlp-sg/inf-clip
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.