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Found 10 papers, 5 papers with code
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
State-of-the-art pre-trained image models predominantly adopt a two-stage approach: initial unsupervised pre-training on large-scale datasets followed by task-specific fine-tuning using Cross-Entropy loss~(CE).
Foveation in the Era of Deep Learning
In this paper, we tackle the challenge of actively attending to visual scenes using a foveated sensor.
Learning Physics Properties of Fabrics and Garments with a Physics Similarity Neural Network
In this paper, we propose to predict the physics parameters of real fabrics and garments by learning their physics similarities between simulated fabrics via a Physics Similarity Network (PhySNet).
Enabling the Sense of Self in a Dual-Arm Robot
While humans are aware of their body and capabilities, robots are not.
Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Applications
Our assumption is that the visual prediction of a garment's shapes and weights is possible via a neural network that learns the dynamic changes of garments from video sequences.
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations
We present an introspective framework inspired by the process of how humans perform introspection.
On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning
The latter represents an extra degree-of-freedom of which current end-to-end reinforcement learning fail to generalise.
Single-Shot Clothing Category Recognition in Free-Configurations with Application to Autonomous Clothes Sorting
Our visual feature is robust to deformable shapes and our approach is able to recognise the category of unknown clothing in unconstrained and random configurations.
Robot Vision Architecture for Autonomous Clothes Manipulation
The experimental results show that the proposed dual-arm flattening using stereo vision system remarkably outperforms the single-arm flattening and widely-cited Kinect-based sensing system for dexterous manipulation tasks.
Glasgow's Stereo Image Database of Garments
To provide insight into cloth perception and manipulation with an active binocular robotic vision system, we compiled a database of 80 stereo-pair colour images with corresponding horizontal and vertical disparity maps and mask annotations, for 3D garment point cloud rendering has been created and released.
