Dec 1, 2023 · Specifically, AS-ZSL gains an improvement for ZSL by 8.1% (CUB), 4.7% (AwA2), 4.1% (SUN), and for the GZSL by 4.5% (CUB), 3.2% (AwA2), 3.9% (SUN). Thus, the …

The SUN Attribute dataset consists of 14,340 images from 717 scene categories, and each category is annotated with a taxonomy of 102 discriminate attributes. The dataset can be used …

We conduct experiments on three popular ZSL benchmarks (i.e., AWA2, CUB and SUN) and set new state-of-the-art harmonic mean results on all the three datasets, which illustrate the …

May 1, 2023 · Zero-shot learning (ZSL) aims to learn models that can recognize unseen image semantics based on the training of data with seen semantics. Recent studies either leverage …

We provide trained models (Google Drive) on three different datasets: CUB, SUN, AWA2 in the CZSL/GZSL setting. You can download model files as well as corresponding datasets, and …

To overcome these problems, we propose a Large-scale At-tribute Dataset (LAD) with 78,017 images of 230 classes. 359 attributes of visual, semantic and subjective properties are defined …

May 27, 2018 · Experiments conducted on AwA2, CUB and SUN datasets demonstrate that our method outperforms existing state-ofthe-art approaches by a huge margin of 9.3 ∼ 24.5% …

To solved the domain shift issue, we propose a new ZSL method that combines Vision Transformer (ViT) and the encoder-decoder mechanism. This method refers to ViT’s Multi …

In ./wandb_config, we provide our parameters setting of conventional ZSL (CZSL) and generalized ZSL (GZSL) tasks for CUB, SUN, and AWA2. You can run the following …

Jun 19, 2020 · We derive a new initialization scheme, which allows us to demonstrate strong state-of-the-art results on 4 out of 5 commonly used ZSL datasets: SUN, CUB, AwA1, and …