In DeepSignNet we make a leap forward in the performance of Sign Language Recognition and Transcription systems.
Automatically infer the specific model structure to minimize the need for manual tuning and hand-crafted heuristics.
Integrate linguistic constraints and non manual cues enhancing the conventional pure video-data oriented approach.
Recognize efficiently the meaning of a sign language segment in an emergency scenario.
