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Found 5 papers, 5 papers with code
Reciprocal Attention Mixing Transformer for Lightweight Image Restoration
To address these problems, we propose a lightweight IR network, Reciprocal Attention Mixing Transformer (RAMiT).
Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair Training
As multimedia content often contains noise from intrinsic defects of digital devices, image denoising is an important step for high-level vision recognition tasks.
N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution
Using the N-Gram context, we propose NGswin, an efficient SR network with SCDP bottleneck taking multi-scale outputs of the hierarchical encoder.
FrostNet: Towards Quantization-Aware Network Architecture Search
In this paper, we present a new network architecture search (NAS) procedure to find a network that guarantees both full-precision (FLOAT32) and quantized (INT8) performances.
Abstractive Text Classification Using Sequence-to-convolution Neural Networks
Seq2CNN is trained end-to-end to classify various-length texts without preprocessing inputs into fixed length.
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Text Classification
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