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12/23/2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Learning novel classes from a very few labeled samples has attracted inc...
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05/17/2021
Class-Incremental Few-Shot Object Detection
Conventional detection networks usually need abundant labeled training s...
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01/12/2021
Fine-grained Semantic Constraint in Image Synthesis
In this paper, we propose a multi-stage and high-resolution model for im...
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10/02/2020
MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination
In this paper, we investigate the problem of text-to-pedestrian synthesi...
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05/26/2017
Learning Robust Features with Incremental Auto-Encoders
Automatically learning features, especially robust features, has attract...
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05/26/2017
Zero-Shot Learning with Generative Latent Prototype Model
Zero-shot learning, which studies the problem of object classification f...
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03/15/2017
Zero-Shot Recognition using Dual Visual-Semantic Mapping Paths
Zero-shot recognition aims to accurately recognize objects of unseen cla...
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02/22/2017
Task-driven Visual Saliency and Attention-based Visual Question Answering
Visual question answering (VQA) has witnessed great progress since May, ...
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05/30/2012
