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Found 6 papers, 3 papers with code
Enhancing Classification with Hierarchical Scalable Query on Fusion Transformer
We additionally introduce a novel block called Cross Attention on Multi-level queries with Prior (CAMP) Block that helps reduce error propagation from coarse level to finer level, which is a common problem in all hierarchical classifiers.
Robust Perception through Equivariance
In this paper, we introduce a framework that uses the dense intrinsic constraints in natural images to robustify inference.
Semantic Driven Energy based Out-of-Distribution Detection
We achieve it by minimizing the energy for in-distribution samples and simultaneously learn respective class representations that are closer and maximizing energy for out-distribution samples and pushing their representation further out from known class representation.
SHAD3S: A model to Sketch, Shade and Shadow
Hatching is a common method used by artists to accentuate the third dimension of a sketch, and to illuminate the scene.
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
robosuite is a simulation framework for robot learning powered by the MuJoCo physics engine.
Unsupervised Synthesis of Anomalies in Videos: Transforming the Normal
Finally through this synthesis approach we obtain a comparable set of abnormal samples that can be used for training the CNN for the classification of normal vs abnormal samples.
