802 citations · 1.3k across the 32 of their papers we have counts for
8 papers · 1 filter
BoxInst: High-Performance Instance Segmentation with Box Annotations
Zhi Tian, Chunhua Shen, Xinlong Wang +1
We present a high-performance method that can achieve mask-level instance segmentation with only bounding-box annotations for training. While this setting has been studied in the l…
Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
Haokui Zhang, Ying Li, Hao Chen +3
Recently, much attention has been spent on neural architecture search (NAS), aiming to outperform those manually-designed neural architectures on high-level vision recognition task…
Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions
Hao Chen, Chunhua Shen, Zhi Tian
Recently, fully-convolutional one-stage networks have shown superior performance comparing to two-stage frameworks for instance segmentation as typically they can generate higher-q…
FCOS: A simple and strong anchor-free object detector
Zhi Tian, Chunhua Shen, Hao Chen +1
In computer vision, object detection is one of most important tasks, which underpins a few instance-level recognition tasks and many downstream applications. Recently one-stage met…
Conditional Convolutions for Instance Segmentation
Zhi Tian, Chunhua Shen, Hao Chen
We propose a simple yet effective instance segmentation framework, termed CondInst (conditional convolutions for instance segmentation). Top-performing instance segmentation method…
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
Yuliang Liu, Hao Chen, Chunhua Shen +3
Scene text detection and recognition has received increasing research attention. Existing methods can be roughly categorized into two groups: character-based and segmentation-based…