cluster #3

Papers

• Stacked Cross Attention For Image-text Matching (2018)
  Kuang-Huei Lee, Xi Chen, Gang Hua, et al.
  27.77
• Visual Semantic Reasoning For Image-text Matching (2019)
  Kunpeng Li, Yulun Zhang, Kai Li, et al.
  25.23
• Imagebind: One Embedding Space To Bind Them All (2023)
  Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.
  21.38
• Visual Relationship Detection With Language Priors (2016)
  Cewu Lu, Ranjay Krishna, Michael Bernstein, et al.
  20.75
• Unicoder-vl: A Universal Encoder For Vision And Language By Cross-modal Pre-training (2019)
  Gen Li, Nan Duan, Yuejian Fang, et al.
  20.24
• Pic2word: Mapping Pictures To Words For Zero-shot Composed Image Retrieval (2023)
  Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, et al.
  20.24
• Zero-shot Composed Image Retrieval With Textual Inversion (2023)
  Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, et al.
  19.84
• Matching Images And Text With Multi-modal Tensor Fusion And Re-ranking (2019)
  Tan Wang, Xing Xu, Yang Yang, et al.
  19.77
• Fine-grained Visual Textual Alignment For Cross-modal Retrieval Using Transformer Encoders (2020)
  Nicola Messina, Giuseppe Amato, Andrea Esuli, et al.
  19.48
• Remote Sensing Cross-modal Text-image Retrieval Based On Global And Local Information (2022)
  Zhiqiang Yuan, Wenkai Zhang, Changyuan Tian, et al.
  19.48
• IMRAM: Iterative Matching With Recurrent Attention Memory For Cross-modal Image-text Retrieval (2020)
  Hui Chen, Guiguang Ding, Xudong Liu, et al.
  19.22
• Composing Text And Image For Image Retrieval - An Empirical Odyssey (2018)
  Nam Vo, Lu Jiang, Chen Sun, et al.
  18.71
• Look, Imagine And Match: Improving Textual-visual Cross-modal Retrieval With Generative Models (2017)
  Jiuxiang Gu, Jianfei Cai, Shafiq Joty, et al.
  18.52
• CAMP: Cross-modal Adaptive Message Passing For Text-image Retrieval (2019)
  Zihao Wang, Xihui Liu, Hongsheng Li, et al.
  18.38
• Mobileclip: Fast Image-text Models Through Multi-modal Reinforced Training (2023)
  Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, et al.
  18.12
• 12-in-1: Multi-task Vision And Language Representation Learning (2019)
  Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, et al.
  17.85
• Polysemous Visual-semantic Embedding For Cross-modal Retrieval (2019)
  Yale Song, Mohammad Soleymani
  17.70
• CLIP-KD: An Empirical Study Of CLIP Model Distillation (2023)
  Chuanguang Yang, Zhulin An, Libo Huang, et al.
  17.57
• Lightningdot: Pre-training Visual-semantic Embeddings For Real-time Image-text Retrieval (2021)
  Siqi Sun, Yen-Chun Chen, Linjie Li, et al.
  17.42
• Image Retrieval On Real-life Images With Pre-trained Vision-and-language Models (2021)
  Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney, et al.
  17.07
• Composed Image Retrieval Using Contrastive Learning And Task-oriented Clip-based Features (2023)
  Alberto Baldrati, Marco Bertini, Tiberio Uricchio, et al.
  16.84
• Exploring A Fine-grained Multiscale Method For Cross-modal Remote Sensing Image Retrieval (2022)
  Zhiqiang Yuan, Wenkai Zhang, Kun Fu, et al.
  16.73
• VISTA: Visualized Text Embedding For Universal Multi-modal Retrieval (2024)
  Junjie Zhou, Zheng Liu, Shitao Xiao, et al.
  16.73
• Multimodal Contrastive Training For Visual Representation Learning (2021)
  Xin Yuan, Zhe Lin, Jason Kuen, et al.
  16.32
• Scene Text Retrieval Via Joint Text Detection And Similarity Learning (2021)
  Hao Wang, Xiang Bai, Mingkun Yang, et al.
  16.16
• Transformer Reasoning Network For Image-text Matching And Retrieval (2020)
  Nicola Messina, Fabrizio Falchi, Andrea Esuli, et al.
  16.15
• Mplug: Effective And Efficient Vision-language Learning By Cross-modal Skip-connections (2022)
  Chenliang Li, Haiyang Xu, Junfeng Tian, et al.
  16.14
• Cross-modal And Uni-modal Soft-label Alignment For Image-text Retrieval (2024)
  Hailang Huang, Zhijie Nie, Ziqiao Wang, et al.
  15.75
• Bi-directional Training For Composed Image Retrieval Via Text Prompt Learning (2023)
  Zheyuan Liu, Weixuan Sun, Yicong Hong, et al.
  15.63
• Context-i2w: Mapping Images To Context-dependent Words For Accurate Zero-shot Composed Image Retrieval (2023)
  Yuanmin Tang, Jing Yu, Keke Gai, et al.
  15.41
• Thinking Fast And Slow: Efficient Text-to-visual Retrieval With Transformers (2021)
  Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, et al.
  15.16
• Learning Aligned Cross-modal Representations From Weakly Aligned Data (2016)
  Lluis Castrejon, Yusuf Aytar, Carl Vondrick, et al.
  14.97
• Long-clip: Unlocking The Long-text Capability Of CLIP (2024)
  Beichen Zhang, Pan Zhang, Xiaoyi Dong, et al.
  14.90
• Multimodal Prototypical Networks For Few-shot Learning (2020)
  Frederik Pahde, Mihai Puscas, Tassilo Klein, et al.
  14.73
• Mixgen: A New Multi-modal Data Augmentation (2022)
  Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, et al.
  14.47
• Cross-modal Scene Networks (2016)
  Yusuf Aytar, Lluis Castrejon, Carl Vondrick, et al.
  14.35
• Your Negative May Not Be True Negative: Boosting Image-text Matching With False Negative Elimination (2023)
  Haoxuan Li, Yi Bin, Junrong Liao, et al.
  14.32
• Vista: Vision And Scene Text Aggregation For Cross-modal Retrieval (2022)
  Mengjun Cheng, Yipeng Sun, Longchao Wang, et al.
  14.31
• ALADIN: Distilling Fine-grained Alignment Scores For Efficient Image-text Matching And Retrieval (2022)
  Nicola Messina, Matteo Stefanini, Marcella Cornia, et al.
  14.00
• Image-text Retrieval: A Survey On Recent Research And Development (2022)
  Min Cao, Shiping Li, Juntao Li, et al.
  13.93
• Align2ground: Weakly Supervised Phrase Grounding Guided By Image-caption Alignment (2019)
  Samyak Datta, Karan Sikka, Anirban Roy, et al.
  13.93
• Unifying Two-stream Encoders With Transformers For Cross-modal Retrieval (2023)
  Yi Bin, Haoxuan Li, Yahui Xu, et al.
  13.89
• Decoupling The Role Of Data, Attention, And Losses In Multimodal Transformers (2021)
  Lisa Anne Hendricks, John Mellor, Rosalia Schneider, et al.
  13.88
• Finding Beans In Burgers: Deep Semantic-visual Embedding With Localization (2018)
  Martin Engilberge, Louis Chevallier, Patrick Pérez, et al.
  13.84
• Unsupervised Contrastive Hashing For Cross-modal Retrieval In Remote Sensing (2022)
  Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
  13.84
• Equivariant Similarity For Vision-language Foundation Models (2023)
  Tan Wang, Kevin Lin, Linjie Li, et al.
  13.78
• COTS: Collaborative Two-stream Vision-language Pre-training Model For Cross-modal Retrieval (2022)
  Haoyu Lu, Nanyi Fei, Yuqi Huo, et al.
  13.60
• Safe-clip: Removing NSFW Concepts From Vision-and-language Models (2023)
  Samuele Poppi, Tobia Poppi, Federico Cocchi, et al.
  13.41
• CMIR-NET : A Deep Learning Based Model For Cross-modal Retrieval In Remote Sensing (2019)
  Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, et al.
  13.34
• Expressing Objects Just Like Words: Recurrent Visual Embedding For Image-text Matching (2020)
  Tianlang Chen, Jiebo Luo
  13.34