https://github.com/Alab-NII/onecommon
공식 코드An Annotated Corpus of Reference Resolution for Interpreting Common Grounding
Papers with Code 아카이브
Visual Dialog
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 8
- 보존된 평가 기록
- 98
Visual Dialog requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, given an image, a dialog history, and a follow-up question about the image, the task is to answer the question.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/pace
공식 코드PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
https://github.com/Deanplayerljx/tab-vcr
공식 코드TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines
https://github.com/GuessWhatGame/referit
공식 코드https://github.com/JXZe/DualVD
공식 코드DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
https://github.com/XiaoxiaoGuo/fashion-retrieval
공식 코드https://github.com/amazon-research/read-up
공식 코드Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation
https://github.com/arjunakula/Visual-Discourse-Parsing
공식 코드https://github.com/batra-mlp-lab/visdial-amt-chat
공식 코드https://github.com/danakianfar/Examining-Cooperation-in-VDM
공식 코드https://github.com/danielamassiceti/CCA-visualdialogue
공식 코드https://github.com/davidnvq/visdial
공식 코드https://github.com/dvlab-research/minigemini
공식 코드Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
https://github.com/gicheonkang/DAN-VisDial
공식 코드Dual Attention Networks for Visual Reference Resolution in Visual Dialog
https://github.com/gicheonkang/gst-visdial
공식 코드The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
https://github.com/gicheonkang/sglkt-visdial
공식 코드Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer
https://github.com/hkust-knowcomp/vd-pcr
공식 코드VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution
https://github.com/hoanganhpham1006/cost
공식 코드Video Dialog as Conversation about Objects Living in Space-Time
https://github.com/i-need-sleep/mmcoref_cleaned
공식 코드UNITER-Based Situated Coreference Resolution with Rich Multimodal Input
https://github.com/idansc/fga
공식 코드https://github.com/idansc/mrr-ndcg
공식 코드https://github.com/itaigat/perceptual-score
공식 코드Perceptual Score: What Data Modalities Does Your Model Perceive?
https://github.com/jiasenlu/HieCoAttenVQA
공식 코드Hierarchical Question-Image Co-Attention for Visual Question Answering
https://github.com/jiasenlu/visDial.pytorch
공식 코드https://github.com/jqtangust/hawk
공식 코드https://github.com/mcogswell/dialog_without_dialog
공식 코드Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data
https://github.com/naver/aqm-plus
공식 코드Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation
https://github.com/phellonchen/DMRM
공식 코드DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog
https://github.com/ruizhaogit/GuessWhat-TemperedPolicyGradient
공식 코드Learning Goal-Oriented Visual Dialog via Tempered Policy Gradient
https://github.com/salesforce/VD-BERT
공식 코드https://github.com/salesforce/lavis
공식 코드https://github.com/satwikkottur/clevr-dialog
공식 코드CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog
https://github.com/shubhamagarwal92/visdial_conv
공식 코드https://github.com/shubhamagarwal92/visdialconv-amt
공식 코드https://github.com/simpleshinobu/visdial-principles
공식 코드https://github.com/taesunwhang/MVAN-VisDial
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.