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Unmixing Convolutional Features for Crisp Edge Detection
This paper presents a context-aware tracing strategy (CATS) for crisp ed...
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Asymmetric Siamese Networks for Semantic Change Detection
Given two multi-temporal aerial images, semantic change detection aims t...
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Mixed Noise Removal with Pareto Prior
Denoising images contaminated by the mixture of additive white Gaussian ...
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Align Deep Features for Oriented Object Detection
The past decade has witnessed significant progress on detecting objects ...
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Event Enhanced High-Quality Image Recovery
With extremely high temporal resolution, event cameras have a large pote...
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Implicit Euler ODE Networks for Single-Image Dehazing
Deep convolutional neural networks (CNN) have been applied for image deh...
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X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data
This paper addresses the problem of semi-supervised transfer learning wi...
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DiRS: On Creating Benchmark Datasets for Remote Sensing Image Interpretation
The past decade has witnessed great progress on remote sensing (RS) imag...
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Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Remote sensing image scene classification, which aims at labeling remote...
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FGN: Fully Guided Network for Few-Shot Instance Segmentation
Few-shot instance segmentation (FSIS) conjoins the few-shot learning par...
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Zero-Assignment Constraint for Graph Matching with Outliers
Graph matching (GM), as a longstanding problem in computer vision and pa...
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Fisheye Distortion Rectification from Deep Straight Lines
This paper presents a novel line-aware rectification network (LaRecNet) ...
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Holistically-Attracted Wireframe Parsing
This paper presents a fast and parsimonious parsing method to accurately...
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Plug Play Convolutional Regression Tracker for Video Object Detection
Video object detection targets to simultaneously localize the bounding b...
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Matching Neuromorphic Events and Color Images via Adversarial Learning
The event camera has appealing properties: high dynamic range, low laten...
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Learning Regional Attraction for Line Segment Detection
This paper presents regional attraction of line segment maps, and hereby...
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Conditional Generative ConvNets for Exemplar-based Texture Synthesis
The goal of exemplar-based texture synthesis is to generate texture imag...
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Gliding vertex on the horizontal bounding box for multi-oriented object detection
Object detection has recently experienced substantial progress. Yet, the...
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LIP: Learning Instance Propagation for Video Object Segmentation
In recent years, the task of segmenting foreground objects from backgrou...
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iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Existing Earth Vision datasets are either suitable for semantic segmenta...
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Learning to Calibrate Straight Lines for Fisheye Image Rectification
This paper presents a new deep-learning based method to simultaneously c...
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A Functional Representation for Graph Matching
Graph matching is an important and persistent problem in computer vision...
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Mini-UAV-based Remote Sensing: Techniques, Applications and Prospectives
The past few decades have witnessed the great progress of unmanned aircr...
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Learning Attraction Field Representation for Robust Line Segment Detection
This paper presents a region-partition based attraction field dual repre...
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Learning RoI Transformer for Detecting Oriented Objects in Aerial Images
Object detection in aerial images is an active yet challenging task in c...
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GeoSay: A Geometric Saliency for Extracting Buildings in Remote Sensing Images
Automatic extraction of buildings in remote sensing images is an importa...
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Texture Mixing by Interpolating Deep Statistics via Gaussian Models
Recently, enthusiastic studies have devoted to texture synthesis using d...
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Adaptively Transforming Graph Matching
Recently, many graph matching methods that incorporate pairwise constrai...
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Learning Transferable Deep Models for Land-Use Classification with High-Resolution Remote Sensing Images
In recent years, large amount of high spatial-resolution remote sensing ...
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Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency
This paper aims to address the problem of detecting buildings from remot...
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Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery
Many significant applications need land cover information of remote sens...
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Recent advances and opportunities in scene classification of aerial images with deep models
Scene classification is a fundamental task in interpretation of remote s...
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AID++: An Updated Version of AID on Scene Classification
Aerial image scene classification is a fundamental problem for understan...
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Rotation-Sensitive Regression for Oriented Scene Text Detection
Text in natural images is of arbitrary orientations, requiring detection...
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Learning the Synthesizability of Dynamic Texture Samples
A dynamic texture (DT) refers to a sequence of images that exhibit tempo...
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DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Object detection is an important and challenging problem in computer vis...
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Deep learning in remote sensing: a review
Standing at the paradigm shift towards data-intensive science, machine l...
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Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
Remote sensing (RS) image retrieval based on visual content is of great ...
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Anisotropic-Scale Junction Detection and Matching for Indoor Images
Junctions play an important role in the characterization of local geomet...
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Image Stitching by Line-guided Local Warping with Global Similarity Constraint
Low-textured image stitching remains a challenging problem. It is diffic...
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AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Aerial scene classification, which aims to automatically label an aerial...
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Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery
Scene classification is a key problem in the interpretation of high-reso...
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Meaningful Objects Segmentation from SAR Images via A Multi-Scale Non-Local Active Contour Model
The segmentation of synthetic aperture radar (SAR) images is a longstand...
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