Sharada manuscripts are among the most difficult Indic texts for OCR. Their lines are often long, curved, and rich in diacritics.

We built CURIO, a curvature-aligned OCR to read them.

🧵👇 Why is OCR hard for Sharada manuscripts?

Lines are often:

• curved
• skewed
• very long
• densely decorated with diacritics

Standard OCR pipelines struggle with these geometries. CURIO rectifies line curvature before recognition.

Presenting BoundaryNet - a resizing-free approach for high-precision weakly supervised document layout parsing. BoundaryNet will be an ORAL presentation (Oral Session 3) today at @icdar2021 . Project page: ihdia.iiit.ac.in/BoundaryNet/ . Details 👇 Precise boundary annotations can be crucial for downstream applications which rely on region-class semantics. Some document collections contain irregular and overlapping region instances. Fully automatic approaches require resizing and often produce suboptimal parsing results.

📢 In our #ACMMM21 paper, we highlight issues with training and evaluation of 𝗰𝗿𝗼𝘄𝗱 𝗰𝗼𝘂𝗻𝘁𝗶𝗻𝗴 deep networks. 🧵👇 For far too long, 𝗰𝗿𝗼𝘄𝗱 𝗰𝗼𝘂𝗻𝘁𝗶𝗻𝗴 works in #CVPR, #AAAI, #ICCV, #NeurIPS have reported only MAE, but not standard deviation.

📢 Introducing SynSE, a language-guided approach for generalized zero shot learning of pose-based action representations! Great effort by @bublaasaur and @divyanshu1709 #actionrecognition

Paper: arxiv.org/abs/2101.11530…
Code: github.com/skelemoa/synse…

🧵👇 For enabling compositional generalization to novel action-object combinations, the action description is transformed into individual Part-of-Speech based embeddings.