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08/17/2021
TOOD: Task-aligned One-stage Object Detection
One-stage object detection is commonly implemented by optimizing two sub...
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03/25/2021
Rethinking Deep Contrastive Learning with Embedding Memory
Pair-wise loss functions have been extensively studied and shown to cont...
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03/22/2021
Brain Image Synthesis with Unsupervised Multivariate Canonical CSCℓ_4Net
Recent advances in neuroscience have highlighted the effectiveness of mu...
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01/11/2021
Unchain the Search Space with Hierarchical Differentiable Architecture Search
Differentiable architecture search (DAS) has made great progress in sear...
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07/23/2020
Representation Sharing for Fast Object Detector Search and Beyond
Region Proposal Network (RPN) provides strong support for handling the s...
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04/14/2020
Deformable Siamese Attention Networks for Visual Object Tracking
Siamese-based trackers have achieved excellent performance on visual obj...
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03/11/2020
Channel Interaction Networks for Fine-Grained Image Categorization
Fine-grained image categorization is challenging due to the subtle inter...
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03/09/2020
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection
Training an object detector on a data-rich domain and applying it to a d...
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02/18/2020
Knowledge Integration Networks for Action Recognition
In this work, we propose Knowledge Integration Networks (referred as KIN...
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02/18/2020
V4D:4D Convolutional Neural Networks for Video-level Representation Learning
Most existing 3D CNNs for video representation learning are clip-based m...
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12/14/2019
Cross-Batch Memory for Embedding Learning
Mining informative negative instances are of central importance to deep ...
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10/17/2019
Convolutional Character Networks
Recent progress has been made on developing a unified framework for join...
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10/07/2019
Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation
Weakly-supervised instance segmentation aims to detect and segment objec...
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09/26/2019
Dual-Stream Pyramid Registration Network
We propose a Dual-Stream Pyramid Registration Network (referred as Dual-...
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04/14/2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
A family of loss functions built on pair-based computation have been pro...
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02/04/2019
Compatible and Diverse Fashion Image Inpainting
Visual compatibility is critical for fashion analysis, yet is missing in...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/16/2018
Deep Metric Learning with Hierarchical Triplet Loss
We present a novel hierarchical triplet loss (HTL) capable of automatica...
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08/03/2018