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20162022
most citedSemantic Instance Segmentation via Deep Metric Learning

211 citations · 550 across the 15 of their papers we have counts for

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21 papers · 1 filter

cs.CV2021

NAS-FCOS: Efficient Search for Object Detection Architectures

Ning Wang, Yang Gao, Hao Chen +4

Neural Architecture Search (NAS) has shown great potential in effectively reducing manual effort in network design by automatically discovering optimal architectures. What is notew…

cs.CV2021181 cited

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

Jiatao Gu, Lingjie Liu, Peng Wang +1

We propose StyleNeRF, a 3D-aware generative model for photo-realistic high-resolution image synthesis with high multi-view consistency, which can be trained on unstructured 2D imag…

cs.CV2021

CAT: Cross-Attention Transformer for One-Shot Object Detection

Weidong Lin, Yuyan Deng, Yang Gao +5

Given a query patch from a novel class, one-shot object detection aims to detect all instances of that class in a target image through the semantic similarity comparison. However,…

cs.CV2021

Center Prediction Loss for Re-identification

Lu Yang, Yunlong Wang, Lingqiao Liu +5

The training loss function that enforces certain training sample distribution patterns plays a critical role in building a re-identification (ReID) system. Besides the basic requir…

cs.CV20211 cited

Instance and Pair-Aware Dynamic Networks for Re-Identification

Bingliang Jiao, Xin Tan, Jinghao Zhou +3

Re-identification (ReID) is to identify the same instance across different cameras. Existing ReID methods mostly utilize alignment-based or attention-based strategies to generate e…

cs.CV20213 cited

Real-Time Visual Object Tracking via Few-Shot Learning

Jinghao Zhou, Bo Li, Peng Wang +5

Visual Object Tracking (VOT) can be seen as an extended task of Few-Shot Learning (FSL). While the concept of FSL is not new in tracking and has been previously applied by prior wo…