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Found 6 papers, 0 papers with code
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
In this aspect the proposed SSL frame-work MC-SSL0. 0 is a step towards Multi-Concept Self-Supervised Learning (MC-SSL) that goes beyond modelling single dominant label in an image to effectively utilise the information from all the concepts present in it.
Global Interaction Modelling in Vision Transformer via Super Tokens
Hence, most of the learning is independent of the image patches $(N)$ in the higher layers, and the class embedding is learned solely based on the Super tokens $(N/M^2)$ where $M^2$ is the window size.
NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition
One key ingredient of DCNN-based FR is the appropriate design of a loss function that ensures discrimination between various identities.
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification
Our framework is novel in its ability to implicitly learn aligned semantics between modalities during the feature learning stage.
Ranked #14 on
Text based Person Retrieval
on CUHK-PEDES
Cross-Modal Person Re-Identification
Cross-Modal Person Re-Identification
+3
A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation
Compared with existing loss functions, the lower gradient of the proposed loss function leads to the convergence of SGD to a better optimum point, and consequently a better generalisation.
A Convolutional Baseline for Person Re-Identification Using Vision and Language Descriptions
However, in real-world surveillance scenarios, frequently no visual information will be available about the queried person.
