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Found 6 papers, 2 papers with code
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery
In this paper, we study the problem of Generalized Category Discovery (GCD), which aims to cluster unlabeled data from both known and unknown categories using the knowledge of labeled data from known categories.
MIFI: MultI-camera Feature Integration for Roust 3D Distracted Driver Activity Recognition
Distracted driver activity recognition plays a critical role in risk aversion-particularly beneficial in intelligent transportation systems.
Democratizing Fine-grained Visual Recognition with Large Language Models
Identifying subordinate-level categories from images is a longstanding task in computer vision and is referred to as fine-grained visual recognition (FGVR).
CarDD: A New Dataset for Vision-based Car Damage Detection
Automatic car damage detection has attracted significant attention in the car insurance business.
Neural Network Ensembles: Theory, Training, and the Importance of Explicit Diversity
Ensemble learning is a process by which multiple base learners are strategically generated and combined into one composite learner.
Projection Neural Network for a Class of Sparse Regression Problems with Cardinality Penalty
By constructing a smoothing function for the cardinality function, we propose a projected neural network and design a correction method for solving this problem.
