361 citations · 904 across the 43 of their papers we have counts for
6 papers · 1 filter
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
Daizong Liu, Dongdong Yu, Changhu Wang +1
Although deep learning based methods have achieved great progress in unsupervised video object segmentation, difficult scenarios (e.g., visual similarity, occlusions, and appearanc…
TransTrack: Multiple Object Tracking with Transformer
Peize Sun, Jinkun Cao, Yi Jiang +5
In this work, we propose TransTrack, a simple but efficient scheme to solve the multiple object tracking problems. TransTrack leverages the transformer architecture, which is an at…
What Makes for End-to-End Object Detection?
Peize Sun, Yi Jiang, Enze Xie +4
Object detection has recently achieved a breakthrough for removing the last one non-differentiable component in the pipeline, Non-Maximum Suppression (NMS), and building up an end-…
Slimmable Generative Adversarial Networks
Liang Hou, Zehuan Yuan, Lei Huang +3
Generative adversarial networks (GANs) have achieved remarkable progress in recent years, but the continuously growing scale of models makes them challenging to deploy widely in pr…
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Peize Sun, Rufeng Zhang, Yi Jiang +8
We present Sparse R-CNN, a purely sparse method for object detection in images. Existing works on object detection heavily rely on dense object candidates, such as anchor boxes…
Temporal Context Aggregation for Video Retrieval with Contrastive Learning
Jie Shao, Xin Wen, Bingchen Zhao +1
The current research focus on Content-Based Video Retrieval requires higher-level video representation describing the long-range semantic dependencies of relevant incidents, events…