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11/21/2022
Plug and Play Active Learning for Object Detection
Annotating data for supervised learning is expensive and tedious, and we...
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11/17/2022
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families
Transformer-based detectors (DETRs) have attracted great attention due t...
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03/10/2022
Prediction-Guided Distillation for Dense Object Detection
Real-world object detection models should be cheap and accurate. Knowled...
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11/26/2021
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning
The goal of contrastive learning based pre-training is to leverage large...
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03/16/2021
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
While general object detection with deep learning has achieved great suc...
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09/18/2020
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation
Unsupervised domain adaptation for semantic segmentation has been intens...
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12/03/2019