Search Results for author: Chong Sun

Found 10 papers, 5 papers with code

Weak-Shot Object Detection Through Mutual Knowledge Transfer

no code implementations CVPR 2023 Xuanyi Du, Weitao Wan, Chong Sun, Chen Li

We propose a novel Knowledge Transfer (KT) loss which simultaneously distills the knowledge of objectness and class entropy from a proposal generator trained on the S dataset to optimize a multiple instance learning module on the T dataset.

Multiple Instance Learning Object +3

Waveflow: Enforcing boundary conditions in smooth normalizing flows with application to fermionic wave functions

no code implementations27 Nov 2022 Luca Thiede, Chong Sun, Alán Aspuru-Guzik

In this paper, we introduce four main novelties: First, we present a new way of handling the topology problem of normalizing flows.

Towards Domain Generalization in Object Detection

no code implementations27 Mar 2022 Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li

Despite the striking performance achieved by modern detectors when training and test data are sampled from the same or similar distribution, the generalization ability of detectors under unknown distribution shifts remains hardly studied.

Domain Generalization Object +2

Distribution Consistent Neural Architecture Search

no code implementations CVPR 2022 Junyi Pan, Chong Sun, Yizhou Zhou, Ying Zhang, Chen Li

We first theoretically investigate how the weight coupling problem affects the network searching performance from a parameter distribution perspective, and then propose a novel supernet training strategy with a Distribution Consistent Constraint that can provide a good measurement for the extent to which two architectures can share weights.

Neural Architecture Search

Spatial-Scale Aligned Network for Fine-Grained Recognition

no code implementations5 Jan 2020 Lizhao Gao, Hai-Hua Xu, Chong Sun, Junling Liu, Yu-Wing Tai

Existing approaches for fine-grained visual recognition focus on learning marginal region-based representations while neglecting the spatial and scale misalignments, leading to inferior performance.

Fine-Grained Visual Recognition

ROI Pooled Correlation Filters for Visual Tracking

1 code implementation CVPR 2019 Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu

The ROI (region-of-interest) based pooling method performs pooling operations on the cropped ROI regions for various samples and has shown great success in the object detection methods.

object-detection Object Detection +1

Quantum Imaginary Time Evolution, Quantum Lanczos, and Quantum Thermal Averaging

1 code implementation23 Jan 2019 Mario Motta, Chong Sun, Adrian Teck Keng Tan, Matthew J. O' Rourke, Erika Ye, Austin J. Minnich, Fernando G. S. L. Brandao, Garnet Kin-Lic Chan

An efficient way to compute Hamiltonian ground-states on a quantum computer stands to impact many problems in the physical and computer sciences, ranging from quantum simulation to machine learning.

Quantum Physics

Correlation Tracking via Joint Discrimination and Reliability Learning

1 code implementation CVPR 2018 Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang

To address this issue, we propose a novel CF-based optimization problem to jointly model the discrimination and reliability information.

Visual Tracking

Learning Spatial-Aware Regressions for Visual Tracking

1 code implementation CVPR 2018 Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang

Second, we propose a fully convolutional neural network with spatially regularized kernels, through which the filter kernel corresponding to each output channel is forced to focus on a specific region of the target.

regression Visual Object Tracking +1

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