The Swin Transformer V2 model was proposed in Swin Transformer V2: Scaling Up Capacity and Resolution by Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo.
Swin Transformer v2 improves the original Swin Transformer using 3 main techniques: 1) a residual-post-norm method combined with cosine attention to improve training stability; 2) a log-spaced continuous position bias method to effectively transfer models pre-trained using low-resolution images to downstream tasks with high-resolution inputs; 3) A self-supervised pre-training method, SimMIM, to reduce the needs of vast labeled images.
The Donut model was proposed in OCR-free Document Understanding Transformer by Geewook Kim, Teakgyu Hong, Moonbin Yim, Jeongyeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park. Donut consists of an image Transformer encoder and an autoregressive text Transformer decoder to perform document understanding tasks such as document image classification, form understanding and visual question answering.
PEGASUS-X (PEGASUS eXtended) extends the PEGASUS models for long input summarization through additional long input pretraining and using staggered block-local attention with global tokens in the encoder.
The X-CLIP model was proposed in Expanding Language-Image Pretrained Models for General Video Recognition by Bolin Ni, Houwen Peng, Minghao Chen, Songyang Zhang, Gaofeng Meng, Jianlong Fu, Shiming Xiang, Haibin Ling. X-CLIP is a minimal extension of CLIP for video. The model consists of a text encoder, a cross-frame vision encoder, a multi-frame integration Transformer, and a video-specific prompt generator.
X-CLIP is a minimal extension of CLIP for video-language understanding.
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dependabot[bot]
commented
2 years ago
Bumps transformers from 4.16.2 to 4.22.1.
Release notes
Sourced from transformers's releases.
... (truncated)
Commits
2c8b508Release: v4.22.1654c584Add tests for legacy load by url and fix bugs (#19078)6d034d5Note about developer mode (#19075)af20bbbFix tokenizer load from one file (#19073)1504b53Fixing OPT fast tokenizer option. (#18753)defd039Move cache: expand error message (#19051)ad11b79Release: v4.22.02182378fix GPT2 token'sspecial_tokens_maskwhen used withadd_bos_token=True(#...680ad0dRe-add support for single url files in objects download (#19014)c6415faFix MaskFormerFeatureExtractor instance segmentation preprocessing bug (#18997)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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