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Veeam Data Platform v13.1
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A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation. We replace the old BERT vocabulary with a larger one of size 51271 built from the training data, in which we 1) add missing 6800+ Chinese characters (most of them are traditional Chinese characters); 2) remove redundant tokens (e.g. Chinese character tokens with ## prefix); 3) add some English tokens to reduce OOV.
Position Embeddings We extend the max_position_embeddings from 512 to 1024. We...
Code release for "Masked-attention Mask Transformer
Mask2Former is a unified segmentation architecture that handles semantic, instance, and panoptic segmentation with one model and one training recipe. Its core idea is to cast segmentation as mask classification: a transformer decoder predicts a set of mask queries, each with an associated class score, eliminating the need for task-specific heads. A pixel decoder fuses multi-scale features and feeds masked attention in the transformer so each query focuses computation on its current spatial support. ...
Tools for Scalable Video Coding (SVC) bitstream reordering to support Dynamic Adaptive Streaming over HTTP (DASH).
- Demultiplexer for SVC-DASH. Splits the SVC bitstream into chunks, one per layer. Also generates an MPD. This tool is deployed at the server.
- Re-Multiplexer for SVC-DASH. Reorders SVC layer chunks into a single SVC bitstream. This tool is deployed at the client (after the DASH client, before the SVC decoder).
Both tools are implemented as Python scripts.
An All in One encoder/decoder for the masses
Current version: 1.0
Supports: Base64, Hex, URL, URL+, Rot13 (Caesar), MD5, SHA-1, String Reverse, VBScript/JScript Encoder/decoder, ASCII convert