#Attention attention 2021 how to#
#Attention attention 2021 code#

It’s a testament to their continued innovation as artists, and we look forward to unveiling the film to audiences worldwide,” said Tony Piantedosi, Vice President of Acquisitions at Gravitas Ventures. “Shinedown found the ideal director in Bill Yukich to turn their acclaimed album into a dynamic cinematic experience. Years in the making, I am beyond pleased to be able to share this vision, which was inspired by this amazing band,” said director Bill Yukich. What begins as many stories, many voices, steadily becomes one message, one voice from many. “ATTENTION ATTENTION the film is where the songs of the album come together with people this music has had a profound impact on. We’re really proud of what we created and are beyond excited to partner with Gravitas Ventures to finally bring the film in its entirety to the world,” said Shinedown. “When we created ATTENTION ATTENTION, our vision was always to present the message as a sonic and visual experience. As anxieties dissipate and demons disappear, what emerges is a powerful and enduring statement about humanity, overcoming struggles, the importance of mental health, not being afraid to fail and the resolve of the human spirit. A stunning sonic and visual work of art, the film weaves the 14 songs from the album into a provocative, visceral and thought-provoking journey that brings viewers along on a psychological, emotional and physical ride from life’s lowest lows to the highest highs. Multi-platinum band Shinedown invites viewers into the world of ATTENTION ATTENTION in their new film, bringing to life the story of the acclaimed chart-topping album, which simultaneously hit #1 on Billboard’s Alternative, Top Rock, and Hard Rock Albums Charts, debuted Top 5 on the Billboard 200, and has racked up more than 355 million global streams. Directed by Bill Yukich and featuring band members Brent Smith, Zach Myers, Eric Bass, and Barry Kerch along with actresses Francesca Eastwood and Melora Walters, Gravitas Ventures will release ATTENTION ATTENTION on digital and cable VOD on September 3, 2021. We argue that this is because our coordinate attention is able to capture long-range dependencies with precise postional information, which is more beneficial to vision tasks with dense predictions, such as semantic segmentation.LOS ANGELES, CA (July 13, 2021)- Gravitas Ventures, a Red Arrow Studios Company, has acquired the worldwide distribution rights to Shinedown’s film ATTENTION ATTENTION, a cinematic experience of the band’s 2018 studio album of the same name. We observe that our coordinate attention yields larger improvement on semantic segmentation than ImageNet classification and object detection. You can also refer to mmsegmentation alternatively. We use this repo (ssdlite-pytorch-mobilenext).

Note sure whether the results would be better if a softmax is applied between the horizontal and vertical features.

When applied to MobileNeXt, adding the attention block after the first depthwise 3x3 convolution works better.

Either horizontal or vertical direction attention performs the same to the SE attention.

SiLU activation (h_swish in the code) works better than ReLU6.

Some tips for designing lightweight attention blocks Pretrained model (MobileNetV2 with CA) and model file are both available. (a) MobileNetV2 (b) MobileNeXt Numerical results on ImageNet Method

#Attention attention 2021 how to#

(a) Squeeze-and-Excitation block (b) CBAM (C) Coordinate attention block How to plug the proposed CA block in the inverted residual block and the sandglass block Pretrained model (MobileNetV2 with CA) and model file are both available.Ĭomparison to Squeeze-and-Excitation block and CBAM.For specific numbers in ImageNet classification, COCO object detection, and semantic segmentation, please refer to our paper. Note that the results reported in the paper are based on regular training setting (200 training epochs, random crop, and cosine learning schedule) without using extra label smoothing, random augmentation, random erasing, mixup.

#Attention attention 2021 code#

Here ( pytorch-image-models) is a code base that you might want to train a classification model on ImageNet.

Our coordinate attention can be easily plugged into any classic building blocks as a feature representation augmentation tool. This repository is a PyTorch implementation of our coordinate attention (will appear in CVPR2021). Coordinate Attention for Efficient Mobile Network Design ( preprint)