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05/12/2023
RHINO: Rotated DETR with Dynamic Denoising via Hungarian Matching for Oriented Object Detection
With the publication of DINO, a variant of the Detection Transformer (DE...
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04/26/2023
On Pitfalls of RemOve-And-Retrain: Data Processing Inequality Perspective
Approaches for appraising feature importance approximations, alternative...
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04/11/2023
A Billion-scale Foundation Model for Remote Sensing Images
As the potential of foundation models in visual tasks has garnered signi...
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03/14/2023
Implicit Stacked Autoregressive Model for Video Prediction
Future frame prediction has been approached through two primary methods:...
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12/20/2022
Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagery
For change detection in remote sensing, constructing a training dataset ...
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02/21/2022
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
Adversarial examples, crafted by adding imperceptible perturbations to n...
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08/31/2021
Contrastive Multiview Coding with Electro-optics for SAR Semantic Segmentation
In the training of deep learning models, how the model parameters are in...
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05/31/2021
Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner
In deep learning-based object detection on remote sensing domain, nuisan...
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10/22/2020
On the Power of Deep but Naive Partial Label Learning
Partial label learning (PLL) is a class of weakly supervised learning wh...
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10/04/2019
Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector
Automatic post-disaster damage detection using aerial imagery is crucial...
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08/26/2019
Deep Closed-Form Subspace Clustering
We propose Deep Closed-Form Subspace Clustering (DCFSC), a new embarrass...
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08/22/2019
NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local Operations
Road extraction from very high resolution satellite images is one of the...
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03/27/2019
Bridging Adversarial Robustness and Gradient Interpretability
Adversarial training is a training scheme designed to counter adversaria...
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02/13/2019
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps
Saliency Map, the gradient of the score function with respect to the inp...
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06/08/2018
Domain Adaptive Generation of Aircraft on Satellite Imagery via Simulated and Unsupervised Learning
Object detection and classification for aircraft are the most important ...
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06/08/2018
Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative
SmoothGrad and VarGrad are techniques that enhance the empirical quality...
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12/16/2017
