Papers with Code 아카이브

Visual Question Answering

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

5

평가표

30

보존된 평가 기록

334

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/pwc-1/Paper-9/tree/main/lxmert

LXMERT Model Compression for Visual Question Answering

https://github.com/pytorch/captum

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/qiujihao19/artemis

Visual Instruction Tuning

https://github.com/qizekun/SoFar

SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation

https://github.com/qwenlm/qwen2.5-vl

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

https://github.com/rabihchamas/dcls-gradcam-eval

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/rahulcoding/CheXNet

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/rayanramoul/GradCAM

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/reallm-labs/infiguiagent

InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners

https://github.com/renmengye/rec-attend-public

End-to-End Instance Segmentation with Recurrent Attention

https://github.com/rickyHong/faster-rcnn-tensorflow-repl

Spatial Memory for Context Reasoning in Object Detection

https://github.com/rishavbb/bottom_up_vqa

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

https://github.com/rishikmani/sort-of-clevr

A simple neural network module for relational reasoning

https://github.com/ritvikshrivastava/ADL_VQA_Tensorflow2

Hierarchical Question-Image Co-Attention for Visual Question Answering

https://github.com/rmokady/clip_prefix_caption

Unified Vision-Language Pre-Training for Image Captioning and VQA

https://github.com/ronghanghu/n2nmn

Learning to Reason: End-to-End Module Networks for Visual Question Answering

https://github.com/ronghanghu/pythia

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

https://github.com/rosinality/relation-networks-pytorch

A simple neural network module for relational reasoning

https://github.com/rshah240/conv_visualiser

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/rubenpt91/pfl-docvqa-competition

Scene Text Visual Question Answering

https://github.com/ruotianluo/DiscCaptioning

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

https://github.com/ruotianluo/GoogleConceptualCaptioning

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

https://github.com/ruotianluo/ImageCaptioning.pytorch

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

https://github.com/ruotianluo/Transformer_Captioning

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

https://github.com/ruotianluo/iep-ref

CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions

https://github.com/ruotianluo/neuraltalk2.pytorch

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

https://github.com/ruotianluo/self-critical.pytorch

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

https://github.com/ruxuan666/VQA_program

VQA: Visual Question Answering

https://github.com/ryoasu/grad-cam

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/sahilkhose/FloodNet

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

https://github.com/sahilkhose/floodnet_vqa

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

https://github.com/sail-sg/dualformer

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/salanueva/UniVSE

Evaluating Multimodal Representations on Visual Semantic Textual Similarity

https://github.com/samson6460/tf-keras-gradcamplusplus

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/samson6460/tf.keras-gradcamplusplus

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

https://github.com/samson6460/tf_keras_gradcamplusplus

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.