activity
20202025
most citedGhost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

24 citations · 50 across the 11 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.CV2021★ 2 cited

Searching Parameterized AP Loss for Object Detection

Chenxin Tao, Zizhang Li, Xizhou Zhu +3

Loss functions play an important role in training deep-network-based object detectors. The most widely used evaluation metric for object detection is Average Precision (AP), which…

cs.CV2021

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework

Chenxin Tao, Honghui Wang, Xizhou Zhu +4

Self-supervised learning has shown its great potential to extract powerful visual representations without human annotations. Various works are proposed to deal with self-supervised…