1.6k citations · 2.9k across the 40 of their papers we have counts for
6 papers · 1 filter
SOLO: Segmenting Objects by Locations
Xinlong Wang, Tao Kong, Chunhua Shen +2
We present a new, embarrassingly simple approach to instance segmentation in images. Compared to many other dense prediction tasks, e.g., semantic segmentation, it is the arbitrary…
Effective Domain Knowledge Transfer with Soft Fine-tuning
Zhichen Zhao, Bowen Zhang, Yuning Jiang +3
Convolutional neural networks require numerous data for training. Considering the difficulties in data collection and labeling in some specific tasks, existing approaches generally…
Task-Aware Monocular Depth Estimation for 3D Object Detection
Xinlong Wang, Wei Yin, Tao Kong +3
Monocular depth estimation enables 3D perception from a single 2D image, thus attracting much research attention for years. Almost all methods treat foreground and background regio…
UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations
Hao Wu, Jiayuan Mao, Yufeng Zhang +4
We propose Unified Visual-Semantic Embeddings (UniVSE) for learning a joint space of visual and textual concepts. The space unifies the concepts at different levels, including obje…
FoveaBox: Beyond Anchor-based Object Detector
Tao Kong, Fuchun Sun, Huaping Liu +3
We present FoveaBox, an accurate, flexible, and completely anchor-free framework for object detection. While almost all state-of-the-art object detectors utilize predefined anchors…
Consistent Optimization for Single-Shot Object Detection
Tao Kong, Fuchun Sun, Huaping Liu +2
We present consistent optimization for single stage object detection. Previous works of single stage object detectors usually rely on the regular, dense sampled anchors to generate…