Congratulations to our labmates: Joshua Peeples, Connor McCurley, Sarah Walker, Dylan Stewart and Alina Zare! Their paper, “LEARNABLE ADAPTIVE COSINE ESTIMATOR (LACE) FOR IMAGE CLASSIFICATION “, was recently accepted to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022.… Read More
Tag: #cosine estimator
Learnable Adaptive Cosine Estimator (LACE) for Image Classification
Abstract: In this work, we propose a new loss to improve feature discriminability and classification performance. Motivated by the adaptive cosine/coherence estimator [42] (ACE), our proposed method incorporates angular information that is inherently learned by artificial neural networks. Our learnable… Read More