https://github.com/sdc17/upop
공식 코드UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
Papers with Code 아카이브
Text Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 16
- 보존된 평가 기록
- 51
Text Retrieval is the task of finding the most text result (such as an answer, paragraph, or passage) given a query (which could be a question, keywords, or any relevant text)
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sebastian-hofstaetter/tas-balanced-dense-retrieval
공식 코드Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
https://github.com/seefreem/meme_text_retrieval_p1
공식 코드Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes
https://github.com/seekerhuang/harma
공식 코드Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment
https://github.com/sensengao/vlptransferattack
공식 코드https://github.com/sharif-ml-lab/GABInsight
공식 코드GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models
https://github.com/showlab/egovlp
공식 코드https://github.com/showlab/movieseq
공식 코드https://github.com/skleee/GLEN
공식 코드https://github.com/smt-HS/CE3
공식 코드https://github.com/smt-HS/DeepTileBars-release
공식 코드DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval
https://github.com/spotify-research/tot
공식 코드https://github.com/sreyan88/reclap
공식 코드ReCLAP: Improving Zero Shot Audio Classification by Describing Sounds
https://github.com/starmemda/CAMoE
공식 코드Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
https://github.com/starmemda/camow
공식 코드Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
https://github.com/stogiannidis/srbench
공식 코드Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models
https://github.com/tanveer81/rgnet
공식 코드RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos
https://github.com/technomad-ds/lovr-benchmark
공식 코드LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts
https://github.com/tencentarc/mcq
공식 코드Bridging Video-text Retrieval with Multiple Choice Questions
https://github.com/thomas0809/textreact
공식 코드https://github.com/thongnt99/lsr-multimodal
공식 코드Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control
https://github.com/thudm/p-tuning-v2
공식 코드Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers
https://github.com/thunlp/DANCE
공식 코드https://github.com/trec-atomic/atomic
공식 코드AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation
https://github.com/tuskanny/seismic
공식 코드Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations
https://github.com/ukplab/peerqa
공식 코드PeerQA: A Scientific Question Answering Dataset from Peer Reviews
https://github.com/uniadapter/uniadapter
공식 코드UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
https://github.com/unum-cloud/usearch
공식 코드https://github.com/uta-smile/TCL
공식 코드Vision-Language Pre-Training with Triple Contrastive Learning
https://github.com/v-manhlt3/m-ltm-audio-text-retrieval
공식 코드Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
https://github.com/vacancy/NSCL-PyTorch-Release
공식 코드https://github.com/verdurechen/understang_dsi
공식 코드https://github.com/vkhoi/cora_cvpr24
공식 코드Composing Object Relations and Attributes for Image-Text Matching
https://github.com/wangfei-2019/image-text-retrieval
공식 코드https://github.com/wangskygit/passage-sieve
공식 코드https://github.com/wangt-cn/eqben
공식 코드Equivariant Similarity for Vision-Language Foundation Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.