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Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning
Training deep reinforcement learning agents on environments with multipl...
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Fine-grained Classification via Categorical Memory Networks
Motivated by the desire to exploit patterns shared across classes, we pr...
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Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
Generation of stroke-based non-photorealistic imagery, is an important p...
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Enhanced Scene Specificity with Sparse Dynamic Value Estimation
Multi-scene reinforcement learning involves training the RL agent across...
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Learning Object Relation Graph and Tentative Policy for Visual Navigation
Target-driven visual navigation aims at navigating an agent towards a gi...
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CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
This paper proposes a self-supervised learning method for the person re-...
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Are Labels Necessary for Classifier Accuracy Evaluation?
To calculate the model accuracy on a computer vision task, e.g., object ...
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Learning to simulate complex scenes
Data simulation engines like Unity are becoming an increasingly importan...
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Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning
Training deep reinforcement learning agents on environments with multipl...
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Correlating Edge, Pose with Parsing
According to existing studies, human body edge and pose are two benefici...
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The 4th AI City Challenge
The AI City Challenge was created to accelerate intelligent video analys...
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Learning to Structure an Image with Few Colors
Color and structure are the two pillars that construct an image. Usually...
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Circle Loss: A Unified Perspective of Pair Similarity Optimization
This paper provides a pair similarity optimization viewpoint on deep fea...
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Simulating Content Consistent Vehicle Datasets with Attribute Descent
We simulate data using a graphic engine to augment real-world datasets, ...
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Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking
Multi-target multi-camera tracking (MTMCT) systems track targets across ...
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Towards Real-Time Multi-Object Tracking
Modern multiple object tracking (MOT) systems usually follow the trackin...
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Learning to Adapt Invariance in Memory for Person Re-identification
This work considers the problem of unsupervised domain adaptation in per...
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Joint Discriminative and Generative Learning for Person Re-identification
Person re-identification (re-id) remains challenging due to significant ...
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Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
This paper considers the domain adaptive person re-identification (re-ID...
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Linkage Based Face Clustering via Graph Convolution Network
In this paper, we present an accurate and scalable approach to the face ...
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Image Classification base on PCA of Multi-view Deep Representation
In the age of information explosion, image classification is the key tec...
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Learning from Web Data: the Benefit of Unsupervised Object Localization
Annotating a large number of training images is very time-consuming. In ...
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Dissecting Person Re-identification from the Viewpoint of Viewpoint
In person re-identification (re-ID),In person re-identification (re-ID),...
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Domain Alignment with Triplets
Deep domain adaptation methods can reduce the distribution discrepancy b...
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Similarity-preserving Image-image Domain Adaptation for Person Re-identification
This article studies the domain adaptation problem in person re-identifi...
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Query Adaptive Late Fusion for Image Retrieval
Feature fusion is a commonly used strategy in image retrieval tasks, whi...
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Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
We consider the problem of unsupervised domain adaptation in semantic se...
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Open Set Adversarial Examples
Adversarial examples in recent works target at closed set recognition sy...
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Attention-based Pyramid Aggregation Network for Visual Place Recognition
Visual place recognition is challenging in the urban environment and is ...
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Macro-Micro Adversarial Network for Human Parsing
In human parsing, the pixel-wise classification loss has drawbacks in it...
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Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization
In this paper we make two contributions to unsupervised domain adaptatio...
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Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification
This paper considers the task of thorax disease classification on chest ...
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Camera Style Adaptation for Person Re-identification
Being a cross-camera retrieval task, person re-identification suffers fr...
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Beyond Part Models: Person Retrieval with Refined Part Pooling
Employing part-level features for pedestrian image description offers fi...
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Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
Person re-identification (re-ID) models trained on one domain often fail...
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Dual-Path Convolutional Image-Text Embedding with Instance Loss
Matching images and sentences demands a fine understanding of both modal...
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Dual-Path Convolutional Image-Text Embedding
This paper considers the task of matching images and sentences. The chal...
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Dynamic Label Graph Matching for Unsupervised Video Re-Identification
Label estimation is an important component in an unsupervised person re-...
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PatchShuffle Regularization
This paper focuses on regularizing the training of the convolutional neu...
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Pedestrian Alignment Network for Large-scale Person Re-identification
Person re-identification (person re-ID) is mostly viewed as an image ret...
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Few-shot Object Detection
In this paper, we study object detection using a large pool of unlabeled...
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Unsupervised Person Re-identification: Clustering and Fine-tuning
The superiority of deeply learned pedestrian representations has been re...
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Part-based Deep Hashing for Large-scale Person Re-identification
Large-scale is a trend in person re-identification (re-id). It is import...
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Improving Person Re-identification by Attribute and Identity Learning
Person re-identification (re-ID) and attribute recognition share a commo...
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Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval
This paper contributes a new large-scale dataset for weakly supervised c...
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SVDNet for Pedestrian Retrieval
This paper proposes the SVDNet for retrieval problems, with focus on the...
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A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval
This paper proposes a new evaluation protocol for cross-media retrieval ...
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Re-ranking Person Re-identification with k-reciprocal Encoding
When considering person re-identification (re-ID) as a retrieval process...
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Pose Invariant Embedding for Deep Person Re-identification
Pedestrian misalignment, which mainly arises from detector errors and po...
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Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
The main contribution of this paper is a simple semi-supervised pipeline...
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