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Found 4 papers, 1 papers with code
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network
The current state-of-the-art methods first refine the representation of phrase by aggregating the most similar $k$ image pixels, and then match the refined text representations with the pixels of the image feature map to generate segmentation results.
Beyond Attributes: Adversarial Erasing Embedding Network for Zero-shot Learning
AEEN-HOA consists of two branches, i. e., the upper stream is capable of erasing some initially discovered regions, then the high-order attribute supervision is incorporated to characterize the relationship between the class attributes.
Stochastic Conjugate Gradient Algorithm with Variance Reduction
Conjugate gradient (CG) methods are a class of important methods for solving linear equations and nonlinear optimization problems.
Qualitative detection of oil adulteration with machine learning approaches
The study focused on the machine learning analysis approaches to identify the adulteration of 9 kinds of edible oil qualitatively and answered the following three questions: Is the oil sample adulterant?
