Im2Vec VS involution

Compare Im2Vec vs involution and see what are their differences.


[CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision (by preddy5)


[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator (by d-li14)
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Im2Vec involution
2 6
219 1,243
- -
0.4 0.0
12 months ago 10 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Posts with mentions or reviews of Im2Vec. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-15.


Posts with mentions or reviews of involution. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-10.
  • [R] Involution: Inverting the Inherence of Convolution for Visual Recognition
    3 projects | | 10 May 2021
    Abstract: Convolution has been the core ingredient of modern neural networks, triggering the surge of deep learning in vision. In this work, we rethink the inherent principles of standard convolution for vision tasks, specifically spatial-agnostic and channel-specific. Instead, we present a novel atomic operation for deep neural networks by inverting the aforementioned design principles of convolution, coined as involution. We additionally demystify the recent popular self-attention operator and subsume it into our involution family as an over-complicated instantiation. The proposed involution operator could be leveraged as fundamental bricks to build the new generation of neural networks for visual recognition, powering different deep learning models on several prevalent benchmarks, including ImageNet classification, COCO detection and segmentation, together with Cityscapes segmentation. Our involution-based models improve the performance of convolutional baselines using ResNet-50 by up to 1.6% top-1 accuracy, 2.5% and 2.4% bounding box AP, and 4.7% mean IoU absolutely while compressing the computational cost to 66%, 65%, 72%, and 57% on the above benchmarks, respectively. Code and pre-trained models for all the tasks are available at this https URL.
    3 projects | | 10 May 2021
    PDF Link | Landing Page | Read as web page on arXiv Vanity
    3 projects | | 10 May 2021
  • [P] PyTorch Involution layer wrapper
    3 projects | | 9 May 2021
    Have you benchmarked it against the official implementations? Would be interesting to see what the difference is versus their CUDA version.
    3 projects | | 9 May 2021
    Here's the paper if you haven't read it yet:
  • [D] Paper Explained - Involution: Inverting the Inherence of Convolution for Visual Recognition (Full Video Analysis)
    1 project | | 8 May 2021

What are some alternatives?

When comparing Im2Vec and involution you can also consider the following projects:

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

vpype-pixelart - Pixel art plotting in vpype

yolact_edge - The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

mmdetection - OpenMMLab Detection Toolbox and Benchmark

unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

trufont - TruFont is a streamlined and hackable font editor. À l’ancienne.

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing