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@@ -266,7 +266,7 @@ <h1>Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Proced
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<h2>News</h2>
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<div><spanclass="material-icons"> integration_instructions </span> [May 20th 2022] Codes and models for the Action Recognition benchmark is now available on <ahref="https://github.com/assembly-101/assembly101-action-recognition">github</a>. <strongstyle="color: red">[New]</strong></div>
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<div><spanclass="material-icons"> integration_instructions </span> [May 20th 2022] Code and models for the Action Recognition benchmark is now available on <ahref="https://github.com/assembly-101/assembly101-action-recognition">github</a>. <strongstyle="color: red">[New]</strong></div>
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<div><spanclass="material-icons"> integration_instructions </span> [May 17th 2022] Annotations for both fine-grained and coarse actions are now available on <ahref="https://github.com/assembly-101/assembly101-annotations">github</a>. <strongstyle="color: red">[New]</strong></div>
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<div><spanclass="material-icons"> integration_instructions </span> [May 2nd 2022] Scripts to download the videos are now available on <ahref="https://github.com/assembly-101/assembly101-download-scripts">github</a>. <strongstyle="color: red">[New]</strong></div>
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<div><spanclass="material-icons"> integration_instructions </span> [March 28th 2022] Dataset released on <ahref="https://drive.google.com/drive/folders/1nh8PHwEw04zxkkkKlfm4fsR3IPEDvLKj?usp=sharing">Google Drive</a>.</div>
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