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Found 12 papers, 3 papers with code
An Interactive Navigation Method with Effect-oriented Affordance
Thus Interactive Navigation (InterNav) is introduced to navigate to the objects in more realistic "messy" environments according to the object interaction.
Discrepant and Multi-Instance Proxies for Unsupervised Person Re-Identification
To completely and accurately represent the information contained in a cluster and learn discriminative features, we propose to maintain discrepant cluster proxies and multi-instance proxies for a cluster.
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification
However, training two networks with a set of noisy pseudo labels reduces the complementarity of the two networks and results in label noise accumulation.
GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph
In this manuscript, we introduce a semi-automatic scene graph annotation tool for images, the GeneAnnotator.
Unified Regularity Measures for Sample-wise Learning and Generalization
Fundamental machine learning theory shows that different samples contribute unequally both in learning and testing processes.
Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
The key procedure of haze image translation through adversarial training lies in the disentanglement between the feature only involved in haze synthesis, i. e. style feature, and the feature representing the invariant semantic content, i. e. content feature.
The Unreasonable Effectiveness of the Class-reversed Sampling in Tail Sample Memorization
Long-tailed visual class recognition poses significant challenges to traditional machine learning and emerging deep networks due to its inherent class imbalance.
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks
Despite significant progress of applying deep learning methods to the field of content-based image retrieval, there has not been a software library that covers these methods in a unified manner.
Bimodal Stereo: Joint Shape and Pose Estimation from Color-Depth Image Pair
In the pipeline, the estimated shape is refined by the shape prior from the given depth map under the estimated pose.
Joint haze image synthesis and dehazing with mmd-vae losses
Fog and haze are weathers with low visibility which are adversarial to the driving safety of intelligent vehicles equipped with optical sensors like cameras and LiDARs.
Spatio-Temporal Road Scene Reconstruction using Superpixel Markov Random Field
The data fidelity term in the MRF's energy function is jointly computed according to the superpixel features of color, texture and location.
Contour Guided Hierarchical Model for Shape Matching
For the purpose, we divide the shape template into overlapped parts and model the matching through a part-based layered structure that uses the latent variable to constrain parts' deformation.
