[HTML][HTML] Zero-shot learning and its applications from autonomous vehicles to COVID-19 diagnosis: A review
The challenge of learning a new concept, object, or a new medical disease recognition
without receiving any examples beforehand is called Zero-Shot Learning (ZSL). One of the …
without receiving any examples beforehand is called Zero-Shot Learning (ZSL). One of the …
Sketchformer: Transformer-based representation for sketched structure
Sketchformer is a novel transformer-based representation for encoding free-hand sketches
input in a vector form, ie as a sequence of strokes. Sketchformer effectively addresses …
input in a vector form, ie as a sequence of strokes. Sketchformer effectively addresses …
Universal weighting metric learning for cross-modal matching
Cross-modal matching has been a highlighted research topic in both vision and language
areas. Learning appropriate mining strategy to sample and weight informative pairs is …
areas. Learning appropriate mining strategy to sample and weight informative pairs is …
Sketch less for more: On-the-fly fine-grained sketch-based image retrieval
Fine-grained sketch-based image retrieval (FG-SBIR) addresses the problem of retrieving a
particular photo instance given a user's query sketch. Its widespread applicability is however …
particular photo instance given a user's query sketch. Its widespread applicability is however …
Joint feature synthesis and embedding: Adversarial cross-modal retrieval revisited
X Xu, K Lin, Y Yang, A Hanjalic… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recently, generative adversarial network (GAN) has shown its strong ability on modeling
data distribution via adversarial learning. Cross-modal GAN, which attempts to utilize the …
data distribution via adversarial learning. Cross-modal GAN, which attempts to utilize the …
Zero-shot sketch-based image retrieval via graph convolution network
Z Zhang, Y Zhang, R Feng, T Zhang… - Proceedings of the AAAI …, 2020 - ojs.aaai.org
Abstract Zero-Shot Sketch-based Image Retrieval (ZS-SBIR) has been proposed recently,
putting the traditional Sketch-based Image Retrieval (SBIR) under the setting of zero-shot …
putting the traditional Sketch-based Image Retrieval (SBIR) under the setting of zero-shot …
Cross-modal hierarchical modelling for fine-grained sketch based image retrieval
Sketch as an image search query is an ideal alternative to text in capturing the fine-grained
visual details. Prior successes on fine-grained sketch-based image retrieval (FG-SBIR) have …
visual details. Prior successes on fine-grained sketch-based image retrieval (FG-SBIR) have …
Variational interaction information maximization for cross-domain disentanglement
Cross-domain disentanglement is the problem of learning representations partitioned into
domain-invariant and domain-specific representations, which is a key to successful domain …
domain-invariant and domain-specific representations, which is a key to successful domain …
Béziersketch: A generative model for scalable vector sketches
The study of neural generative models of human sketches is a fascinating contemporary
modeling problem due to the links between sketch image generation and the human …
modeling problem due to the links between sketch image generation and the human …
Scenesketcher: Fine-grained image retrieval with scene sketches
Sketch-based image retrieval (SBIR) has been a popular research topic in recent years.
Existing works concentrate on mapping the visual information of sketches and images to a …
Existing works concentrate on mapping the visual information of sketches and images to a …