Improving video retrieval by adaptive margin
WitrynaIn the past decades, learning an effective distance metric between pairs of instances has played an important role in the classification and retrieval task, for example, the person identification or malware retrieval in the IoT service. The core motivation of recent efforts focus on improving the metric forms, and already showed promising results on the … WitrynaImproving Video Retrieval by Adaptive Margin Video retrieval is becoming increasingly important owing to the rapid em... 0 Feng He, et al. ∙ share research ∙ 2 months ago StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection In this paper, we propose a cross-modal distillation method named …
Improving video retrieval by adaptive margin
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WitrynaImproving Cross-Modal Retrieval with Set of Diverse Embeddings ... Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning ... Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval Xiaoshuai Hao · Wanqian Zhang · Dayan Wu · Fei Zhu · Bo Li WitrynaThis phenomenon leads to inaccurate supervision and poor performance in learning video-text representations. While most video retrieval methods overlook that …
Witryna7 lip 2024 · Improving video retrieval by adaptive margin. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR), pages 1359--1368, 2024. Google Scholar Digital Library; Peng Wu, Xiangteng He, Mingqian Tang, Yiliang Lv, and Jing Liu. Hanet: Hier- archical … Witryna22 mar 2024 · We present a novel dialogue-to-video retrieval system, incorporating structured conversational information. Experiments conducted on the AVSD dataset show that our proposed approach using...
WitrynaImproving Video Retrieval by Adaptive Margin Citing conference paper Jul 2024 Feng He Qi Wang Zhifan Feng Wenbin Jiang Xiao Tan View Top co-authors (21) Xiangdong Wang Chinese Academy of Sciences... Witryna6 kwi 2024 · Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation. ... Understanding and Improving Features Learned in Deep Functional Maps. 论文/Paper: ... Towards Generalisable Video Moment Retrieval:Visual-Dynamic Injection to Image-Text Pre-Training. 论 …
http://export.arxiv.org/abs/2303.05093v1
Witryna9 mar 2024 · This phenomenon leads to inaccurate supervision and poor performance in learning video-text representations. While most video retrieval methods overlook that … the patch stonington ctWitryna30 wrz 2024 · The joint embeddings learned with CrossCLR extend the state of the art in video-text retrieval on Youcook2 and LSMDC datasets and in video captioning on … shx59ptc1800WitrynaImproving Video Retrieval by Adaptive Margin Citing conference paper Jul 2024 Feng He Qi Wang Zhifan Feng Wenbin Jiang Xiao Tan View The most successful models … shx5avf5ucWitryna17 mar 2024 · Video retrieval has seen tremendous progress with the development of vision-language models. However, further improving these models require additional labelled data which is a huge manual... the patch store sabersWitryna[He et al. SIGIR21]Improving Video Retrieval by Adaptive Margin. SIGIR, 2024. [Wang et al. IJCAI21] Dig into Multi-modal Cues for Video Retrieval with Hierarchical … shx5av55uc bosch dishwasherWitryna11 kwi 2024 · In this paper, we study the task of unsupervised 2D image-based 3D shape retrieval (UIBSR), which aims to retrieve unlabeled shapes (target domain) using labeled images (source domain). Previous works on UIBSR mainly focus on aligning the prototypes generated by the source labels and predicted target pseudo labels for … the patch stopWitryna17 mar 2024 · In this paper, we propose a framework MKTVR, that utilizes knowledge transfer from a multilingual model to boost the performance of video retrieval. We … the patch st petersburg